write an essay on robot

• Skip to main content
• Skip to secondary menu
• Skip to primary sidebar
• Skip to footer

A Plus Topper

Improve your Grades

Robotics Essay | Essay on Robotics for Students and Children in English

February 14, 2024 by sastry

Robotics Essay:  What do you think of when you think about ‘robots’? If you think they are only the stuff of space movies and science fiction novels, then think again. Robots are the largest growing technological device in the world. They perform many functions ranging from space exploration to entertainment. Robotics technology is increasing at a fast rate, providing us with new technology that can assist with home chores, automobile assembly and many other tasks. Robotic technology has changed the world around us and is continuing to impact the way we do things. Robotic technology transformation from the past to present surrounds almost everyone in today’s society and it affects both our work and leisure activities.

You can read more  Essay Writing  about articles, events, people, sports, technology many more.

Long and Short Essays on Robotics for Kids and Students in English

Given below are two essays in English for students and children about the topic of ‘Robotics’ in both long and short form. The first essay is a long essay on Robotics of 400-500 words. This long essay about Robotics is suitable for students of class 7, 8, 9 and 10, and also for competitive exam aspirants. The second essay is a short essay on Robotics of 150-200 words. These are suitable for students and children in class 6 and below.

Long Essay on Robotics 500 Words in English

Below we have given a long essay on Robotics of 500 words is helpful for classes 7, 8, 9 and 10 and Competitive Exam Aspirants. This long essay on the topic is suitable for students of class 7 to class 10, and also for competitive exam aspirants.

Robotics is the branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for, their coptrol and processing. These technologies deal with automated machines that can take’the place of a human in various kinds of work, activities, environments and processes.

The definition of the word robot has a different meaning to many people. According to the Robot Institute of America, 1979, a robot is a re-programmable, multi-functional manipulator designed to move material, parts, tools, or specialised devices through various programmed motions for the performance of a variety of tasks. The use of robots continues to change numerous aspect of our everyday life, such as health care, education and job satisfaction. Robots are going to be a major part of the world economy, they help ways to make our daily life easier and assist in producing more products.

Robotic technology is becoming one of the leading technologies in the world. They can perform many functions. They are used in many different ways in today’s society. The use of robotic technology has made an immediate impact on the world in several ways. As technological advances continue, research design and building new robots serve various practical purposes, whether domestic, commercial or military. Many robots even do the jobs that are hazardous to people such as defusing bombs, mining and exploring shipwrecks.

There are numerous uses of robots which not only give better results but also help in saving money as well as time. The robots can provide high quality components and finished products, and do so reliably and repeatedly even in hazardous or unpleasant environments. There are various industry segments which are making use of robotics to improve their production capabilities.

Much of the research in robotics focuses not on specific industrial tasks, but on investigations into new types of robots, alternative ways to think about or design robots, and new ways to manufacture them.

Recently, Apollo Hospital group installed the world’s most advanced CyberKnife robotic radio surgery system at the cancer speciality centre in Chennai, India. Although it meant substantial price for the hospital, Apollo decided to go ahead with the project due to the new-found enthusiasm for robotics in India.

From the Chandrayaan I project for sending robots to moon, to biomedical engineering and the auto industry, India has been using robotics on a wide scale. In an increasingly technology-driven country, robotics has fast assumed significance not only for industrial applications, but also in various day-to-day human activities.

Presently, robotics is the pinnacle of technical development. Though robotics in India is at a nascent stage, but industrial automation in India has opened up huge potential for robotics. Innovation coupled with consolidated research and development has catapulted India’s scientific position in robotic technology.

The country is soon to become a major hub for the production of robots. The global market for robots is projected to rise by an average of about 4%, while in India, the industry is expected to grow at a rate 2.5 times that of the global average.

In medical field, the importance of robotics has been growing. Robotics is increasingly being used in a variety of clinical and surgical settings for increasing surgical accuracy and decreasing operating time and often to create better healthcare outcomes than standard current approaches. These medical robots are used to train surgeons, assist in difficult and precise surgical procedures, and to assist patients in recovery. The automobile industry is equally dominated by robots.

There are multiple number of industrial robots functioning on fully automated production lines especially the high and efficient luxury and sports cars. The use of industrial robots has helped to increase productivity rate, efficiency and quality of distribution. Another major area where the use of robots is extensive is the packaging section. The packaging done using real robots is of very high quality as there is almost no chances of any human error. Another example where robotics is used is the electronic field. These are mainly in the mass-production with full accuracy and reliability. With these varied usages of robots Bill Gates has said

“Robots will be the Next World-Changing Technology”

Robotic has spread like an infection to an extent that so many movies and serials are also based on its theme. Some popular movies include Star Wars, Robocop, Ra one, Transformers etc. With such acclaimed popularity India too has come up with the Robotics Society of India (RSI). It is an academic society founded on 10th July, 2011, which aims at promoting Indian robotics and automation activities. The society hopes to serve as a bridge between researchers in institutes, government research centres and industry.

Short Essay on Robotics 200 Words in English

Below we have given a short essay on Robotics is for Classes 1, 2, 3, 4, 5, and 6. This short essay on the topic is suitable for students of class 6 and below.

India has also come up with specialised programmes in robotics field in IITs and other universities. Also, it has moved beyond the traditional areas and entered newer domains of education, rehabilitation, entertainment etc. Robotics has helped handicapped people by replacing their (damaged) limbs with artificial parts that can duplicate the natural movements.

Like a coin has two sides, robotics too has a flip side to it. The biggest barrier in the development of robots has been the high costs of its hardware such as sensors, motors etc. The customisation and updation is also an added problem.

With new advancements taking place each passing day, new product introduction is a problem for the existing users. Robots cut down labour, thereby reducing the opportunities of employment for many. In many developed countries, scientists are making robotic military force that can prove dangerous to others. As the power and capacity of computers continues to expand, revolution is being created in the field of robotics. Imagination is coupled with technology. It would not be wrong to say that in near future there will be a time when robots will become smarter than the human race.

Robotics Essay Word Meanings for Simple Understanding

• Shipwreck – the destruction or loss of a ship, the remains of a ruined ship.
• Defuse – the act of deactivating, terminating or making ineffective
• Substantial- of ample or considerable amount, significant
• Pinnacle – the highest or culminating point, as of success, power, etc
• Nascent – developing, beginning, budding
• Consolidated – united, combined
• Catapulted – to move quickly, suddenly or forcibly
• Reliability – dependability
• Domain – field, area, sphere
• Flip side – opposite side, reverse side
• Customisation – modification, alteration
• Picture Dictionary
• English Speech
• English Slogans
• English Letter Writing
• English Essay Writing
• English Textbook Answers
• Types of Certificates
• ICSE Solutions
• Selina ICSE Solutions
• ML Aggarwal Solutions
• HSSLive Plus One
• HSSLive Plus Two
• Kerala SSLC
• Distance Education

Essay Service Examples Technology Robots

Essay on Robots in the Future

• Proper editing and formatting
• Free revision, title page, and bibliography
• Flexible prices and money-back guarantee

Robotics Future in 2025

• Swarm Robotics. In swarm robotics there are numbers of robots who communicate with each other and perform different task in very short time with high precision.
• Micro robots. Micro robots can be deployed in places which in inaccessible for human or which is too dangerous or relatively small. So, micro robots can go in such places and work efficiently.
• Modular Robots . Modular robots are actually toys that consists of blocks or cubes, that can arrange themselves in specific way to do some tasks. The small blocks usually have magnets so they can attach with other blocks firmly.
• Intellectual Robots. In this time engineers and researchers are working on humanoid robots that can think and work like human. In humanoid robots, artificial intelligence and machine learning technology is incorporated so it can behave and react like human. Recently Pepper and Zora robots were introduced by different companies. The specialty of these robots is that they can understand the expressions of human and react according to them.
• Alternate powered robots. Alternate powered robots use solar energy, wave energy when there is no electricity.
• Exoskeleton. Exoskeleton are external skeleton that supports physical disable persons. Exoskeletons also finds its application in military for injured soldiers.

How Robots Will Transform Our Future?

Our writers will provide you with an essay sample written from scratch: any topic, any deadline, any instructions.

Cite this paper

Related essay topics.

Get your paper done in as fast as 3 hours, 24/7.

Related articles

Most popular essays

In the pursuit of the perfect world, where everyone will be happy with smart technologies because...

• Hospitality

With the development of technology, more and more hotels are beginning to change their business...

• Artificial Intelligence
• Effects of Technology

Artificial intelligence is making rapid strides. It is said that AI could fundamentally change...

• Intelligent Machines

Humanoid robots, robots with a human body plan and human-like detects, are getting a charge out of...

Humans are the most socially advanced of all species and use this specialty in day-to-day...

The word ‘robot’ can be defined as “a machine that can navigate through and interact with the...

The robotics revolution has started! Since robotics have been manufactured, the efficiency and...

• Primary School

These days, robots are used more often in colleges, beyond their regular applications in...

From 9th to 15th on March in 2016, there was Baduk game that is like chess; Lee Sel-dol who is the...

Join our 150k of happy users

• Get original paper written according to your instructions
• Save time for what matters most

Fair Use Policy

EduBirdie considers academic integrity to be the essential part of the learning process and does not support any violation of the academic standards. Should you have any questions regarding our Fair Use Policy or become aware of any violations, please do not hesitate to contact us via [email protected].

We are here 24/7 to write your paper in as fast as 3 hours.

Provide your email, and we'll send you this sample!

By providing your email, you agree to our Terms & Conditions and Privacy Policy .

Say goodbye to copy-pasting!

Get custom-crafted papers for you.

Enter your email, and we'll promptly send you the full essay. No need to copy piece by piece. It's in your inbox!

• Games & Quizzes
• History & Society
• Science & Tech
• Biographies
• Animals & Nature
• Geography & Travel
• Arts & Culture
• On This Day
• One Good Fact
• New Articles
• Lifestyles & Social Issues
• Philosophy & Religion
• Politics, Law & Government
• World History
• Health & Medicine
• Browse Biographies
• Birds, Reptiles & Other Vertebrates
• Bugs, Mollusks & Other Invertebrates
• Environment
• Fossils & Geologic Time
• Entertainment & Pop Culture
• Sports & Recreation
• Visual Arts
• Demystified
• Image Galleries
• Infographics
• Top Questions
• Britannica Kids
• Saving Earth
• Space Next 50
• Student Center
• Introduction

Industrial robots

• Robotics research

Our editors will review what you’ve submitted and determine whether to revise the article.

• The Encyclopedia of Science Fiction - Robot
• robot - Children's Encyclopedia (Ages 8-11)
• robot - Student Encyclopedia (Ages 11 and up)
• Table Of Contents

robot , any automatically operated machine that replaces human effort, though it may not resemble human beings in appearance or perform functions in a humanlike manner. By extension, robotics is the engineering discipline dealing with the design, construction, and operation of robots.

The concept of artificial humans predates recorded history ( see automaton ), but the modern term robot derives from the Czech word robota (“forced labour” or “serf”), used in Karel Čapek ’s play R.U.R. (1920). The play’s robots were manufactured humans, heartlessly exploited by factory owners until they revolted and ultimately destroyed humanity. Whether they were biological, like the monster in Mary Shelley ’s Frankenstein (1818), or mechanical was not specified, but the mechanical alternative inspired generations of inventors to build electrical humanoids.

The word robotics first appeared in Isaac Asimov ’s science-fiction story Runaround (1942). Along with Asimov’s later robot stories, it set a new standard of plausibility about the likely difficulty of developing intelligent robots and the technical and social problems that might result. Runaround also contained Asimov’s famous Three Laws of Robotics :

• 1. A robot may not injure a human being, or, through inaction, allow a human being to come to harm.
• 2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
• 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

In 1970, Japanese roboticist Masahiro Mori proposed that as human likeness increases in an object’s design, so does one’s affinity for the object, giving rise to the phenomenon called the " uncanny valley ." According to this theory, when the artificial likeness nears total accuracy, affinity drops dramatically and is replaced by a feeling of eeriness or uncanniness. Affinity then rises again when true human likeness—resembling a living person—is reached. This sudden decrease and increase caused by the feeling of uncanniness creates a “valley” in the level of affinity.

This article traces the development of robots and robotics . For further information on industrial applications, see the article automation .

(Read Toby Walsh’s Britannica essay on killer robots.)

Though not humanoid in form, machines with flexible behaviour and a few humanlike physical attributes have been developed for industry. The first stationary industrial robot was the programmable Unimate, an electronically controlled hydraulic heavy-lifting arm that could repeat arbitrary sequences of motions. It was invented in 1954 by the American engineer George Devol and was developed by Unimation Inc., a company founded in 1956 by American engineer Joseph Engelberger. In 1959 a prototype of the Unimate was introduced in a General Motors Corporation die-casting factory in Trenton , New Jersey . In 1961 Condec Corp. (after purchasing Unimation the preceding year) delivered the world’s first production-line robot to the GM factory; it had the unsavoury task (for humans) of removing and stacking hot metal parts from a die-casting machine. Unimate arms continue to be developed and sold by licensees around the world, with the automobile industry remaining the largest buyer.

(Read Sherry Turkle’s Britannica essay on robots.)

More advanced computer-controlled electric arms guided by sensors were developed in the late 1960s and 1970s at the Massachusetts Institute of Technology (MIT) and at Stanford University , where they were used with cameras in robotic hand-eye research. Stanford’s Victor Scheinman, working with Unimation for GM, designed the first such arm used in industry. Called PUMA (Programmable Universal Machine for Assembly), they have been used since 1978 to assemble automobile subcomponents such as dash panels and lights. PUMA was widely imitated, and its descendants , large and small, are still used for light assembly in electronics and other industries. Since the 1990s small electric arms have become important in molecular biology laboratories, precisely handling test-tube arrays and pipetting intricate sequences of reagents.

Mobile industrial robots also first appeared in 1954. In that year a driverless electric cart, made by Barrett Electronics Corporation, began pulling loads around a South Carolina grocery warehouse. Such machines, dubbed AGVs (Automatic Guided Vehicles), commonly navigate by following signal-emitting wires entrenched in concrete floors. In the 1980s AGVs acquired microprocessor controllers that allowed more complex behaviours than those afforded by simple electronic controls. In the 1990s a new navigation method became popular for use in warehouses: AGVs equipped with a scanning laser triangulate their position by measuring reflections from fixed retro-reflectors (at least three of which must be visible from any location).

Although industrial robots first appeared in the United States , the business did not thrive there. Unimation was acquired by Westinghouse Electric Corporation in 1983 and shut down a few years later. Cincinnati Milacron, Inc., the other major American hydraulic-arm manufacturer, sold its robotics division in 1990 to the Swedish firm of Asea Brown Boveri Ltd. Adept Technology, Inc., spun off from Stanford and Unimation to make electric arms, is the only remaining American firm. Foreign licensees of Unimation, notably in Japan and Sweden, continue to operate, and in the 1980s other companies in Japan and Europe began to vigorously enter the field. The prospect of an aging population and consequent worker shortage induced Japanese manufacturers to experiment with advanced automation even before it gave a clear return, opening a market for robot makers. By the late 1980s Japan—led by the robotics divisions of Fanuc Ltd., Matsushita Electric Industrial Company, Ltd. , Mitsubishi Group , and Honda Motor Company, Ltd. —was the world leader in the manufacture and use of industrial robots. High labour costs in Europe similarly encouraged the adoption of robot substitutes, with industrial robot installations in the European Union exceeding Japanese installations for the first time in 2001.

Lack of reliable functionality has limited the market for industrial and service robots (built to work in office and home environments). Toy robots, on the other hand, can entertain without performing tasks very reliably, and mechanical varieties have existed for thousands of years. ( See automaton .) In the 1980s microprocessor-controlled toys appeared that could speak or move in response to sounds or light. More advanced ones in the 1990s recognized voices and words. In 1999 the Sony Corporation introduced a doglike robot named AIBO , with two dozen motors to activate its legs, head, and tail, two microphones, and a colour camera all coordinated by a powerful microprocessor. More lifelike than anything before, AIBOs chased coloured balls and learned to recognize their owners and to explore and adapt. Although the first AIBOs cost $2,500, the initial run of 5,000 sold out immediately over the Internet .

An Essay on the Advantages and Disadvantages of Robots

Robots are becoming increasingly common in our world, offering a wide range of benefits and posing unique challenges. This essay explores the advantages and disadvantages of robots, including their ability to perform complex tasks, improve efficiency, and reduce costs, as well as their potential impact on employment and human autonomy.

Essay About The Rise of Robotics – Pros and Cons

Introduction

Robotics is an emerging field that is transforming the way we live and work. Robots are becoming increasingly common in industries ranging from manufacturing and healthcare to education and entertainment, offering a wide range of benefits and posing unique challenges.

Advantages of Robots

One of the primary advantages of robots is their ability to perform complex tasks with precision and accuracy. Robots can work tirelessly without the need for breaks, reducing labor costs and improving efficiency. They can also operate in dangerous or hazardous environments, protecting human workers from harm.

Another advantage of robots is their ability to collect and analyze vast amounts of data, offering valuable insights and opportunities for optimization. They can also improve product quality and consistency, reducing the likelihood of errors or defects.

Disadvantages of Robots

Despite their many advantages, robots also pose unique challenges, including the potential impact on employment and human autonomy. As robots become increasingly sophisticated and capable, there is a risk that they may displace human workers in certain industries, leading to job loss and economic disruption.

In addition, the use of robots raises ethical concerns about the relationship between humans and machines. As robots become more autonomous and independent, they may challenge traditional notions of human control and decision-making, raising important questions about accountability and responsibility.

In conclusion, robots are a rapidly evolving technology that offer a wide range of benefits and challenges. While they have the potential to improve efficiency, reduce costs, and enhance our quality of life, they also raise important questions about employment, ethics, and human autonomy. As we continue to explore the possibilities of robotics, it is important to consider the potential risks and benefits, and to work towards a future in which humans and machines can coexist in harmony.

Hello! Welcome to my Blog StudyParagraphs.co. My name is Angelina. I am a college professor. I love reading writing for kids students. This blog is full with valuable knowledge for all class students. Thank you for reading my articles.

Related Posts:

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Essay on Robots: Top 17 Essays | Intelligent Machines | Engineering

Here is an essay on ‘Robots’ for class 11 and 12. Find paragraphs, long and short essays on ‘Robots’ especially written for college students.

Essay on Robots

Essay Contents:

• Essay on the Reasons for Using Robots

ADVERTISEMENTS:

Essay # 1. Definition of Robot:

Robot, once a creature of science fiction, is today a reality. It is the off-shoot of the second industrial revolution. Robot can be defined as a programmable multi­function manipulator designed or intelligent machine to move material, parts, tools, or specialised devices through variable programmed motions for the performance of variety of tasks.

Today’s robots are fitted with a variety of sensors (like vision, ranging, force-torque, touch, proximity, etc.) sending the sensory information to the computer which processes them subject to given objective and constraints, and develops action decisions for the robot actuators.

Robots are more flexible in terms of ability to perform new tasks or to carry out complex sequences of motion than other categories of automated manufacturing equipment. Generally speaking, robots are machines with some degree of intelligence and operated under the control of a mini or micro-computer.

Industrial robots (tough and tireless) are capable of handling a variety of jobs right from material handling to complex assembly tasks. They perform hazardous and monotonous tasks with tireless precision. They improve productivity and reduce manufacturing costs. They can perform complex jobs. They can even cope with changing conditions in the workplace, when fitted with sensors and adaptive controls.

Essay # 2. Basic Elements of Robots :

The basic elements of industrial robots are manipulator, controller, end effector, sensors and energy source. (Refer Fig. 38.1).

The manipulator comprising of base, arm and wrist are the most obvious parts of the robot. The robot’s movements are executed by the mechanical parts like links, power joints, and transmission system along with internal sensors housed within the manipulator.

The controller acts like a brain of robot. It performs the functions of storing and sequencing data in memory, initiating and stopping the motions of the manipulator, and interacting with the environment.

End effector is the tool, a sort of gripper, which directly interacts with the job. Grippers are being designed to handle a wide range of part configurations.

Sensors to sense the environment are essential for intelligent robots.

Energy source is required to cause movement of the manipulator arm. They may take the form of electrical, hydraulic or pneumatic devices.

Essay # 3. General Structure of Robot:

Figure 38.13 shows a general structure of an advanced robot. The operational unit consists of articulated mechanical system (AMS), (comprising of rigid links and kinetic joint), transmission system and actuators (which control the configuration of each articulation). The internal sensors are provided to indicate the position, velocity and forces of the end effector. The external sensors are provided to sense the environment.

The structural analysis program provides the user with integrated interactive processing from structural analysis to strength evaluation, by means of a pre-processor for graphics, geometrical modeling, finite element modeling and output graphic functions to be used for displaying the deformation quantity, indicating equi-stress lines, stress diagrams, excess stress, dynamic response and animation.

This system displays the element division diagrams and the vibration characteristics of the entire robot as a result of the frequency response calculation for the component parts of the robot system. In the design stage the strength and rigidity of each part are analysed, while the dynamic characteristics of the entire system are predicted and evaluated for lighter weight and higher rigidity.

ii. Mechanical Design of a Robot :

The mechanical design of a robot is an iterative process involving evaluation and choice among a large number of engineering and technical considerations in several disciplines.

A purely static, rigid-body approach to design is not sufficient and factors like mechanical system stiffness, natural frequencies, control system compatibility also need to be considered. A robot should be designed to have only the flexibility it needs to perform the range of tasks for which it is intended.

The various design consideration are:

(i) System Specification:

It includes range, reach, work envelope, load capacity.

(ii) System Configuration:

It includes the joint configuration, number of degrees of freedom, joint travel range, drive configuration.

(iii) System Performance:

It includes system velocity and acceleration, repeatability, resolution, accuracy, component life and duty cycle. Detailed design of major components concerns the robot structures, robot joints, actuators, transmission, wiring and routing of cables and hoses. One should evaluate the possible flexibility of the robot, grippers, tools, and peripheral units and integrate all components to one system.

Essay # 6. Classification of Robots:

Broadly three classes of robots could be considered:

(i) Pre-Programmable/Re-Programmable General Purpose Industrial Robots:

These operate fully by programmed computer control. These are most useful for all structured operations, i.e. activities whose motion and work handling requirements are known before hand and thus can be programmed.

The robot is taught before-hand to perform the necessary action in the teach mode. The robot can then take over and execute the operation repetitively such as in welding, painting, assembly of components for mass manufacturer, loading/unloading of jobs into and from machine tools, etc.

(ii) Tele-Operated, Man-Controlled Robots or Man-in-the-Loop Manipulator:

These differ from totally machine-controlled robots in the sense that the advantage of presence of man is taken in situations where it is not possible to anticipate all the motion and handling requirements in such details as to render them programmable or teachable for machine control. This type of requirement is found in hazardous locations.

The servo-driven master-slave manipulator with force feedback, or vehicle mounted heavy duty multi-axis power manipulator performs the necessary work in hazardous environment, taking commands from a human controller who can manipulate the slave arms at the scene of operation from safe location, relying for viewing on closed circuit television.

(iii) Intelligent Robots:

These are very advanced, state of the art robots and possess sufficient artificial or machine intelligence, somewhat analogous to the sensory perception of the neuro-muscular coordination that human beings are capable of.

Such intelligent robots can not only explore the environment on their own machine perceptions and evaluate them in real time, but also execute the necessary motor functions matching the action of their sensory inputs.

Advanced robots have been built with mobility to not only move over floors but also to climb, ability to avoid obstacles, high power-to-weight ratios, compactly assembled, with on board sensors, instruments and power supplies.

According to another general method of classification robots are classified as:

(i) Special purpose, designed and produced for a limited range of specific jobs, like welding, painting, casting, assembling, material handling etc.

(ii) General purpose of universal robots designed and produced to perform a wide variety of jobs. These may be non-servo-controlled, servo-controlled or sensory type depending on sophistication.

Essay # 7. Specifications of Robot:

i . Work Envelope:

Work envelope or work volume of a manipulator is defined as the envelope or space within which the robot can manipulate the end of the wrist. It depends on the number of types of joints, physical size of the joints and links and the ranges of various joints.

The shape of work volume is dependent upon the configuration of robot, for example, polar configuration has partial sphere as work space, cartesian coordinate configuration robot has a rectangular work space, and a cylindrical robot has a cylindrical work envelope.

ii .   Load Carrying Capacity:

It is dependent on the physical size and construction of robot, and also on the capability to transmit force and torque to the end effector in the wrist.

iii . Speed:

It varies from one point to other and it can be programmed into cycle so that different portions of cycle are performed at different speeds as desired. Maximum speed may be of the order of 2m/sec. In fact more important than speed is the accelerating and decelerating capability in a controlled manner. Robot may hardly achieve its top rated speed in view of its operation in a confined area.

iv . Repeatability:

It is the measure of the robot’s ability to position an object at a previously taught point in the work envelope. Due to inherent errors present (particularly due to mechanical sources), the robot will not be able to return to exact programmed point.

v . Control Resolution:

It refers to the capability of the system (both controller and the positioning device) to divide the range of total movement into closely spaced points than can be identified. Thus it would represent the minimum noticeable movement achievable. It may be mentioned that controller can generate pulses of very small duration but the positioning device should be able to respond and change its position accordingly.

In such a case:

Essay # 9. Control Systems for Robots :

Actuators (pneumatic, electrical, or hydraulic type) are used to move the joints of robots. Electric actuators may be d.c. servo motors or stepping motors. These are preferred type due to compatibility with computers, non-dependence on air or oil supply from outside source.

These are very common for sophisticated robots due to higher accuracy. Pneumatic cylinders are used for smaller robots as in material handling applications. Hydraulic actuators are used to exert high torque and greater speed.

The type of actuator, position and speed sensors, feed-back systems, etc., determine the dynamic response characteristics of the manipulator. Robot’s cycle time is dependent on the speed of response. It may be mentioned that while robots with greater stability are slower in response, the less stable system may tend to oscillate near the set value.

Microprocessor based controllers are used. A hierarchical structure approach is followed, i.e. each joint is actuated by its own controller, and a supervisory controller is used to coordinate the combined actuation of the joints and sequences of the motions.

Depending on sophistication desired, the robot control system may be:

(i) Simple Interlocked System:

This employs no servo control to achieve precise positioning. It is used for simple operations like pick-and-place. Limit switches are used for sequencing the actuation of the joints to complete the cycle.

(ii) Point-to-Point Control with Play Back Facility:

In this system, the various positions/locations, and the sequence to be followed in a cycle are programmed in the memory. The locations and their sequence are played back during the operation. Feed-back control is used to ascertain that desired location is attained.

(iii) Continuous Path Control:

The memory is big to hold information regarding locations of path. In this case path taken by the arm to reach final location is controlled. Servo control is used to maintain continuous control over the position and speed of the manipulator.

(iv) Intelligent Robot:

These can take own decisions when things go wrong during the cycle. These can interact with their environment, communicate with human beings, make computations during the motion cycle, incorporate advanced sensors like machine vision.

Essay # 10. Kinematic Control of Robots:

The various ways in which the robots could be controlled are:

(i) Non-Servo Control:

Non-servo-controlled robots move their arms in an open loop fashion between exact end positions on each axis, or along predetermined trajectories in accordance with fixed sequence. Such controls could be executed either by sequence controllers or by limit switches.

In latter type, more than one position is defined along an axis by indexable stops inserted or withdrawn automatically. A sequence type control steps through a number of pre-set logic steps, which causes one or more joints to move until the appropriate limit switch on the axis is reached.

(ii) Servo-Controlled Robots:

These incorporate feedback devices on the joints or actuators of the manipulator which continuously measure the position of each axis. These have much more manipulative quality and can position the end effector anywhere within the total work envelope.

These could be further classified as:

(a) Point-to-Point Control:

In this system each joint is controlled by an independent position servo with all joints moving from position to position independently. In it, each joint or axis of the robot is moved individually until the combination of joint positions yields the desired position of the end effector.

The way each joint is to move to achieve final position is practiced before-hand and stored in a memory device. As per this stored information each joint runs freely at its maximum or limited rate until it reaches its final position.

Point-to-point motion could be controlled independently in sequence joint control, uncoordinated joint control, or terminally co-ordinated joint control. In sequential joint operation one joint is activated at a time, while all other axes are immobilised.

A single joint may operate more than once in a sequence associated with such a motion. The resulting path of the manipulator end effector will thus have a zig-zag form associated with the motion directions of the manipulator joints.

It results in immediate simplification in the control. However, it causes longer point-to-point motion time. In uncoordinated joint control, the motions are not coordinated, in the sense that if one joint has made some fraction of its motion it does not imply that all other joints will have made the same fractions of their respective motions. When each joint reaches its final position, it holds and waits until all the joints have completed their motions.

Due to non-coordination of motion between joints, the path and velocity of end effector between points is not easily predicted. Terminally co-ordinated joint control is the most useful type of point-to-point control. In it the motion of individual joints are co-ordinated so that all joints attain their final position simultaneously.

It is used primarily in applications where only the final position is of interest and the path is not a prime consideration. Where the continuous path of the end effector is of primary importance to the application, then continuous path control is used.

(b) Continuous Path Control:

It is used where continuous path of the end effector is of primary importance. Continuous path motions are produced by interpolating each joint control variable from its initial value to its desired final value.

Each joint is moved the maximum amount required to achieve the desired final positions to give the robot tool a controlled predicted path. All the joint variables are interpolated to make the joints complete their motions simultaneously, thus giving a co-ordinated joint motion.

Depending on the quantum of information used in the motor control calculation the basic categories of continuous path control techniques are:

(i) Servo control approach (controller has a stored representation of the path to be followed, and the drive signals to the robot’s motors are determined by performing all calculations based on the past and present path tracking error);

(ii) Preview control or feed forward control. (It uses some knowledge about how the path changes immediately ahead of the robot’s current location, in addition to the past and present tracking error used by the servo-controller); and

(iii) Path planning or trajectory calculation approach (controller is fed with a complete description of the manipulator from one point to another. It uses a mathematical physical ‘model’ of the arm and its load, and pre-computes an acceleration profile for every joint, predicting the nominal motor signals that should cause the arms to follow the desired path).

Continuous path control requires lot of memory space to store all the axis positions needed to smoothly record the desired path. In practice, the device is moved actually through the desired path manually and the position of each axis is recorded on a constant time base, thus, generating continuous time history of each axis position.

Essay # 11. Expected Qualities in Robots :

The qualities expected in robots are listed below:

(i) Vision:

The utility of robots will increase several folds by incorporation of vision systems. Vision systems capable of identifying the part for pick up by pattern recognition data based on object’s silhouette have been developed.

Such systems can transform the position and orientation of the object into robot co-ordinates enabling the robot to acquire the object in a known manner. Other type of vision systems can recognise different objects. For each part, a number of distinguishing geometric features can be delineated, including area, perimeter, centre of gravity, number of holes and maximum and minimum radii.

In another vision system, a fibre sensor is used to look at a seam to be welded and automatically adjusts the robot’s weld path.

(ii) Tactile Sensing:

Robots with tactile sensor can identify an object and perform the function based on the referenced data. Grippers have been developed which can pick up any shape of objects and at the same time not exert enough force to crush them.

(iii) Mobility:

Usually the robot stands in a single station for the bulk of factory requirements. However, to handle intermittent and asynchronous demands, compact mobile device which could move in complex paths and access large areas economically has been developed.

(iv) Other Important Qualities in the Process of Development in Robots are:

Computer interpretation of the visual and tactile data, multiple appendage hand-to-hand co-ordination, minimised spatial intrusion, general purpose hands, man-robot voice communication, total self-diagnostic fault tracing, inherent safety, interaction with other technologies, etc.

Essay # 12. Performance Testing of Robots :

Usually following tests are performed on robots to judge their suitability.

(i) Geometric Values:

These include:

(a) Workspace:

Workspace, i.e. the envelope reached by the centre of the interface between the wrist and the tool, using all available axis motions.

(b) Static Behaviour:

It is indication of the deformation of a fixed robot structure under different load cases.

(c) Position Accuracy:

The repeatable accuracy that can be achieved at nominal load and normal operating temperature. This is based on two types of errors, viz., repeatability and reversal error.

(d) Path Accuracy:

The path accuracy of a path- controlled robot indicates at what level of accuracy programmed path curves can be followed at nominal load. The typical errors in path accuracy of a robot are: path accuracy or mean-path dispersion error, trailing error or mean-path deviation, overshoot during acceleration/deceleration.

(e) Reproduction of Smallest Steps:

With very low velocities, the slip-stick effect may become serious and it is hard to control.

(f) Synchronous Travel Accuracy:

(For cases where robot has to perform tasks synchronous to a moving conveyor) as in spray painting and assembly.

(g) Long-Term Behaviour:

It provides information on the time required to achieve thermal stability.

(ii) Kinematic Values:

These include cycle time, speed, and acceleration. It involves measuring of attainable cycle times for a defined sequence in different areas of the working space.

(iii) Power and Noise Values:

Usually measured in decibel at a distance of one metre from the working space.

(iv) Thermal Values:

Changes in temperature effect deviation of the structure.

(v) Dynamic Values:

It involves determination of dynamic behaviour of simple components and the total structure. The response of the robot structure is elicited by the following excitation methods—shaker (sinus, random), hammer (impact), snapback (impact), drives (sinus, random).

Essay # 13. Sensors for Robots :

To carry out its task, a robot must have access to information on predetermined parameters of the environment. Sensors are used to provide this information. The key to the success of closed loop control systems used in robots, in terms of accuracy, reliability and stability relies upon the type, complexity, resolution of the sensor.

It must be remembered that best sensory power has been bestowed by nature in the homomorphic creatures. It is the aim of engineers to attain similar perfection for robots. In order to enable robot perform its duties by understanding the environment around it, sensors provide information like.

(i) Recognition data (to understand the shape, size and features of the object).

(ii) Orientation data (the position of the object in relation to the robot arm co-ordinates in the absolute mode).

(iii) Physical interaction data (to understand the intensity interaction between the end effectors and the object).

The various types of sensors used for this purpose are:

(i) Force sensors (these measure the three mutually orthogonal forces and three orthogonal torques at the tips of the fingers of robot).

(ii) Inertial sensors (these feel the gravity and acceleration generated reaction torques).

(iii) Tactile sensors (these respond to contact forces arising between themselves and objects—used to warn the manipulator of robot to avoid collision when the end effector is near the object).

(iv) Visual sensors (with the use of triangulation or any other algorithm these help in determining the co-ordinates of the object before it is grasped.)

(v) Binary sensors micro-switches, magnetic switches, bimetallic thermal switches, etc. These are used to sense the presence/absence of a part.

(vi) Analog sensors thermocouples, linear variable differential transformers, strain gauges, piezo-electric sensors. These are used when the magnitude of quantity is desired.

(vii) Sensor arrays include pressure sensitive arrays or optical arrays used on the fingers and palm of a gripper. This requires considerable signal processing with a dedicated microprocessor.

Essay # 14. Precautions in the Use of Robots :

Before taking a decision to install a robot, it is important that its use be justified as it costs a lot. Plenty of work should exist for each robot. It is safest to employ robots first on simpler jobs and then put them to complex jobs after gaining experience.

The repetitive tasks, such as picking up heavy parts from one conveyor and placing them on another conveyor, can be easily programmed. Grippers are selected depending on the shape and size of the parts. It is possible to equip them with sensors and computer controls. These can then search the parts for out of position also.

In machine loading and unloading applications, the machines may be grouped around a robot and the robot picks up a part from an incoming conveyor and loads it into a NC lathe and then transfer it to drilling machine, inspect on table, and finally place it on an outgoing conveyor. Thus a system of machines with a robot can be converted into automatic production system.

All operations requiring worker intervention can be completely eliminated. If the shape or size of the part gets changed significantly after machining, then double grippers can be used on robots. To avoid any damage, the gripper of robot must hold the parts securely, exerting sufficient gripping force. Universal grippers are also available for handling parts of different size and shape.

A very nice application of robots is in cleaning of castings, deburring of machined parts, and polishing of parts which is usually fatiguing monotonous, dirty, noisy and sometimes hazardous. In a typical operation, the robot may be programmed to pick up casting from conveyor, presenting it to a rotary cut off wheel or saw removing gates and rise’s, then to a floor stand grinder for removing external flash, then to a grinding head that cleans the interior of the casting and then returning to the second conveyor. All machines should be located and grouped within easy reach of the robot. Stations of such type can handle a wide variety of castings of different shapes and sizes simply by changing programs.

Robots also find wide applications in assembly jobs, spot welding and arc welding. It is observed that robotic welders are about three times more productive than human operators. Robots can also be mounted on tracks so that they can automatically move from one station to another. It is essential to follow safety guidelines strictly in design and operation of robots to avoid any accidents.

Essay # 15. Applications of Robots :

Robots would find successful applications in following situations:

(i) Repetitive operation.

(ii) Other justifications for doing away with manual handling.

(iii) Handling hot or heavy work pieces.

(iv) Production limited by human performance and for endurance.

(v) Quality adversely affected by inconsistent manual handling.

(vi) Where parts have to be repeatedly oriented in the same position.

(vii) Part geometries must permit mechanical handling.

The most useful application of robot is for processes involving hazardous, unpleasant work environment like heat, sparks, fumes, etc. Typical applications in this regard could be die casting, shot welding, spray painting, forging, etc.

The other useful field for use of robots is involving repetitive work cycle which is tiring, fatiguing and boring for operator. Robots give consistent and repeatable results. Robots are essential for applications involving handling of heavy parts or tools.

Industrial robot applications usually involve several pieces of hardware (conveyors, pallets, machine tools, fixtures, etc.) in addition to the robot. Several robots and associated hardware may have to be integrated into a single work-cell.

Layout of the equipment in cell deserves greater attention for optimum results. Various types of layouts may involve centering around single robot, various robots arranged in line, or robots may be mobile. In manufacturing applications, robots may be used to handle tools and work pieces, processing operations, assembly and inspection.

Essay # 17. Reasons for Using Robots :

The reasons for introducing robot into a production process could be:

(i) It relieves man of hazardous or fatiguing tasks.

(ii) It brings improvements in product consistency and quality.

(iii) It offers opportunities for multi-machine manning for multi-shift operation and for wholly unmanned production.

(iv) In countries short of labour, it brings in savings from labour reductions. It increases the output without increasing the labour force.

(v) Robots will lead the way into areas of technology where man has not entered so far.

(vi) Mobile robots with moving arms and wide sensing power will find more applications.

Related Articles:

• Intelligent Robots: Development and Teaching Methods | Machines | Engineering
• Robotic Vision System in Robots | Intelligent Machines | Engineering
• Top 2 Methods of Robot Programming | Intelligent Machines | Engineering
• Robots with Jointed-Spherical Co-Ordinated System | Industrial Engineering

Robots: The Use in Everyday Tasks Essay

• To find inspiration for your paper and overcome writer’s block
• As a source of information (ensure proper referencing)
• As a template for you assignment

The recent advancements in robotics and artificial intelligence have the potential to automate a wide range of human activities and to dramatically reshape the way people live and work in the coming decades. Initially, robots were only limited to the manufacturing industry, but today they are increasingly becoming part of people’s everyday tasks. It is evident that nowadays, more people are relying on intelligent technological types of equipment compared to the past due to advancement in technology. According to Smith and Anderson (2017), the robotics industry around the globe is constantly innovating, integrating artificial intelligence with vision to suit the needs of aging population. It other words, the industry is constantly looking for new ways of making people’s work a bit easier, faster and efficient. In essence, robots are a gift from science to mankind because of their high productivity rate coupled with an increased speed of production, quality and greater workplace safety.

First, the use of robots increases productivity when they are applied to perform tasks that require more efficiency. In the recent past, many industries have shifted their focus to implementing robots that improve productivity and fulfill the demands in the market. Most of them argue that robots work by eliminating the element of human error,thus allowing them to perform tasks at the same level of consistency. In fact, many organizations are already using them to help maximize inventory and, at the same time, improve quality. According to Scheiber (2019), Amazon has implemented palletisers, which are robotics arms with grippers, in their 26 fulfillment centers worldwide to lift the heavy totes and packages from conveyor belt. These palletisers provide robotic muscle for daily operations: they substitute man-hands for their productivity in the effort to cut down on human wear-and-tear. Overall, robots increases productivity by performing tasks at a faster rate but with the same consistent level of quality and quantity than humans.

Secondly, robots are increasingly being adopted in task-performance because of their high speed: they do not easily get distracted. Companies around the globe are focusing more on meeting customers’ demands which explains why high-speed robots are being sort after due to their ability to work 24/7 without any breaks or vacations (RobotWorx, 2021). In fact, it is common to find robots that move at a high speed than humans making them more preferable in ensuring fast production lines,especially in manufacturing companies. A good example of how robots work by improving speed is in the case of Factory Automation System Inc., located in Atlanta which is part of the Architectural, Engineering, and Related Services Industry (Mena Report, 2021). With automation, the company has managed to supply parts to agricultural manufactures with the growth of 150 percent than before while meeting their targets within three hours—five hours less than manual operations (RobotWorx, 2021). It therefore follows that high speed-robots ensures products are produced within the specified time.

Thirdly, the use of robots always brings quality to production which, for many years, has been an issue of concern for many manufacturers. It is important to note that poor quality products tend to have a negative impact on organization’s reputation and bottom line. Therefore, robots help resolve this because they are programmed to manufacture a particular product more precisely without any error, whereas humans tend to make mistakes. A good example here is the Motoman Inc. which uses reciprocating painting machine to paint car and truck on the same line (Yaskawa, 2021).With human tendency, the company used to get different and mixed results as far as production is concerned, but since the adoption of robots, product quality and perfection have improved greatly. Overall, the use of robots in the future as mandatory in everyday tasks stem from the fact that they do not get fatigue or lose focus, thus preventing unnecessary errors that leads to low quality.

Finally, the use robots is critical, especially since they provide greater workplace safety. In the manufacturing sector, robots are increasingly being used to reduce the risk of falls. A good example is where robots are used in the warehouse to help minimize injuries—the robotic machinery is able to reach items that are too high. Similarly, exoskeleton robots are already being used in the manufacturing industry to perform repetitive work associated with musculoskeletal disorders (MSDs). Hyundai Motor Group is one such company that has adopted the use of exoskeleton robots (Menyhárt, 2019). With its Vest Exoskeleton (VEX), the company has managed to reduce fatigue of workers—the wearable vest imitates the movement of human joints.

However, those against the use of robots in everyday tasks claim that many industries, in the effort to maximize profits, are replacing human labour with automated machines. They also argue that the future of artificial intelligence (AI) and robots is volatile: many jobs will be lost throwing millions of people into poverty. Many of them express concern that having AI in workplaces will lead to high levels of income inequality caused bymillions people who are not employable. This, in the end, will lead to breakdown in the social order. Their fears have been validated by detailed analyseswhich shows how increasing automation in workplace impact jobs. A good example is the analysis carried out by Bruegel whose findings showed that “about 54 percent of EU jobs are at risk of computerization” (Tavis, 2015, p. 78). Bruegel’s analysis of European data led him to conclude that job losses will be significant and that people should prepare for large scale disruptions.

The opponents also argue that robots are taking over meaningful work which they consider to be important and valuable. They maintain that doing meaningful work is what leads to high job satisfaction and employee well-being. Their views were echoed by Smids et al.’s (2020) study where the authors followed the work schedules of metro drivers in Paris. The company outsourced robots which led to the introduction of self-driving metros. In return, the company’s drivers were offered alternative positions as managers. While these new positions gave the employees formal responsibilities, a follow-up survey showed that the drivers felt deprived of meaningful work. The workers claimed that, instead of being able to respond immediately to emergency situations, they were only being indirectly informed of the incidences. Smids et al. (2020) results also showed that the workers, by not being directly responsible for the lives of the people, “felt a loss of responsibility in adjusted jobs” (p. 12). In other words, the introduction of robots in everyday tasks tends to disrupt people’s normal work routines.

While it is true the introduction of robots in workplaces might lead to loss of jobs and meaningful work, the future is still promising. First, robots do not have the ability to perform complex tasks such as negotiation and persuading. According to Huang et al. (2021), robots are not as efficient in creating new ideas as they are at solving them despite having higher intelligence levels. In essence, work which require creativity, emotional intelligence and social skills will be on high demand—they are less likely to be performed by robots. With regard to meaningful work, employees being given alternative positions should receive adequate training. Training and development ensures employees such the metro drivers identify the knowledge and skills they require. With evidence-based programs, employers can educate their workers about new skills and the benefits associated with their positions. Most importantly, employees should be encouraged to exercise their capacities for understanding and decision making to higher extents as this would them finds meaning in their work.

In conclusion the use of robots in the future as mandatory in everyday tasks stems from the many benefits associated with it. As evidenced above, robots have been found to increase productivity, speed, quality, and workplace safety. For instance, robots provide greater workplace safety by reducing the risk of fall. Hyundai is currently using Vest Exoskeleton (VEX) with the aim of reducing fatigue of workers: the wearable vest imitates the movement of human joints. However, it is important to note that the use of robots also has its own limitations such as cutting off the manpower and meaningful work. While this is case, employers are encouraged to provide training and development programs aimed at ensuring employees appreciate their new positions.

Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research , 24 (1), 30-41.

Menyhárt, J. (2019). Artificial Intelligence possibilities in vehicle industry. International Journal of Engineering and Management Sciences , 4 (4), 148-154.

RobotWorx. (2021). Robot savings time. Web.

Services for the Manufacture of Links of the Agricultural Excavator. (2021). Mena Report , NA. Web.

Scheiber, N. (2019). Inside an Amazon Warehouse, Robots’ Ways Rub Off on. Web.

Smids, J., Nyholm, S., & Berkers, H. (2020). Robots in the workplace: A threat to—or opportunity for—meaningful work?. Philosophy & Technology , 33 (3), 503-522.

Smith, A., & Anderson, M. (2017). Automation in everyday life: Where will the jobs go? Industrial Safety & Hygiene News, 51(11), 10–14

Tavis, A. A. (2015). Rise of robots: Technology and the threat of a jobless future. People & Strategy , 38 (4), 77-79.

Yaskawa.(2021). Robotic painting & dispensing. Web.

• Characteristics of Robotics
• Robotics' Sociopolitical and Economic Implications
• Autonomous Controller Robotics: The Future of Robots
• Robotization and Employment: An Ethical Analysis
• Robot Revolution in the Contemporary Society
• Healthcare Robots: Entering the Era of a Technological Breakthrough
• “A Robot Can Be Warehouse Worker’s Pal” by Jennifer Smith
• Autonomous Un-Guided Vehicle Usage
• Chicago (A-D)
• Chicago (N-B)

IvyPanda. (2022, December 14). Robots: The Use in Everyday Tasks. https://ivypanda.com/essays/robots-the-use-in-everyday-tasks/

"Robots: The Use in Everyday Tasks." IvyPanda , 14 Dec. 2022, ivypanda.com/essays/robots-the-use-in-everyday-tasks/.

IvyPanda . (2022) 'Robots: The Use in Everyday Tasks'. 14 December.

IvyPanda . 2022. "Robots: The Use in Everyday Tasks." December 14, 2022. https://ivypanda.com/essays/robots-the-use-in-everyday-tasks/.

1. IvyPanda . "Robots: The Use in Everyday Tasks." December 14, 2022. https://ivypanda.com/essays/robots-the-use-in-everyday-tasks/.

Bibliography

IvyPanda . "Robots: The Use in Everyday Tasks." December 14, 2022. https://ivypanda.com/essays/robots-the-use-in-everyday-tasks/.

In an AI world we need to teach students how to work with robot writers

Senior Lecturer in Pedagogy and Curriculum, Deakin University

Disclosure statement

Lucinda McKnight receives funding from the Victorian Association for the Teaching of English.

Deakin University provides funding as a member of The Conversation AU.

View all partners

Robots are writing more of what we read on the internet. And artificial intelligence (AI) writing tools are becoming freely available for anyone, including students, to use.

In a period of rapid change, there are enormous ethical implications for post-human authorship — in which humans and machines collaborate. The study of AI ethics needs to be central to education as we increasingly use machine-generated content to communicate with others.

Robots can write, too

AI robot writers, such as GPT-3 (Generative Pre-trained Transformer) take seconds to create text that seems like it was written by humans. In September, 2020 GPT-3 wrote an entire essay in The Guardian to convince people not to fear artificial intelligence.

AI does this through what’s called natural language processing and generation . This involves converting human language to computer commands and vice versa. To do this, machine algorithms study millions of text samples, words, sentences and paragraphs humans use to gain a general understanding of the context of human language. Then machines use that knowledge to put together text.

As recently as 2019, this kind of technology seemed a long way off . But today, it is readily available .

For example, the free Zyro content generator provides text for websites. I can select the categories “Health and Living” and “Personal Trainer” (I happen to be one, as well as an academic). In two seconds, the following text appears:

I am experienced with personal training, athletic performance, and nutrition. This includes working with children, pregnant women, older adults, people with disabilities, athletes, and anyone looking to achieve a competitive edge, improve their overall health, and overall performance. I also have an interest in alternative health, including wellness coaching and nutrition counselling. In my spare time, I enjoy spending time with my family, the outdoors, and writing.

This sums me up (despite the program knowing nothing about me) and would be fine for my website, if I had one. I have the option to generate more responses, and in two seconds, the program offers:

I am experienced in working with adults and children to improve their overall physical and emotional well-being. I have a strong desire to help you reach your goal […] I love helping others achieve their goals. I love working with others to achieve their goals. I am a mother of two healthy children and a wife to two incredible people.

While this is repetitive and Zyro does not notice the apparent error in the last sentence, these issues would be easy to correct. Text, even for niche purposes, can now be generated in a few clicks.

There are other digital tools such as paraphrasers and rewriters that can generate up to 1,000 articles from a single seed article, each of them substantially unique. Quillbot and WordAI , for instance, can rapidly rewrite text and make it difficult to detect plagiarism. WordAI boasts “unlimited human quality content at your fingertips”.

Questions for schools and universities

So what does this mean for education, writing, and society?

Of course, there’s the issue of cheating on essays and other assignments. School and university leaders need to have difficult conversations about what constitutes “authorship” and “editorship” in the post-human age. We are all (already) writing with machines, even just via spelling and grammar checkers.

Tools such as Turnitin — originally developed for detecting plagiarism — are already using more sophisticated means of determining who wrote a text by recognising a human author’s unique “fingerprint”. Part of this involves electronically checking a submitted piece of work against a student’s previous work.

Many student writers are already using AI writing tools. Perhaps, rather than banning or seeking to expose machine collaboration, it should be welcomed as “ co-creativity ”. Learning to write with machines is an important aspect of the workplace “writing” students will be doing in the future.

Read more: OK computer: to prevent students cheating with AI text-generators, we should bring them into the classroom

AI writers work lightning fast. They can write in multiple languages and can provide images, create metadata, headlines, landing pages, Instagram ads, content ideas, expansions of bullet points and search-engine optimised text, all in seconds. Students need to exploit these machine capabilities, as writers for digital platforms and audiences.

Perhaps assessment should focus more on students’ capacities to use these tools skilfully instead of, or at least in addition to, pursuing “pure” human writing.

But is it fair?

Yet the question of fairness remains. Students who can access better AI writers (more “natural”, with more features) will be able to produce and edit better text.

Better AI writers are more expensive and are available on monthly plans or high one-off payments wealthy families can afford. This will exacerbate inequality in schooling, unless schools themselves provide excellent AI writers to all.

We will need protocols for who gets credit for a piece of writing. We will need to know who gets cited. We need to know who is legally liable for content and potential harm it may create. We need transparent systems for identifying, verifying and quantifying human content.

Read more: When does getting help on an assignment turn into cheating?

And most importantly of all, we need to ask whether the use of AI writing tools is fair to all students.

For those who are new to the notion of AI writing, it is worthwhile playing and experimenting with the free tools available online, to better understand what “creation” means in our robot future.

• Artificial intelligence (AI)
• Creative writing

Postdoctoral Research Fellowship

Health Safety and Wellbeing Advisor

Social Media Producer

Dean (Head of School), Indigenous Knowledges

Senior Research Fellow - Curtin Institute for Energy Transition (CIET)

Advantages and Disadvantages of Robots: Band nine IELTS Essay

Robots are a big topic these days. From self-driving cars to operations, more and more tasks seem to be being taken over by robots. This band nine sample essay looks at this topic. Keep scrolling for information about why this essay is band nine including structure, grammar and a vocabulary list.

Some people think that robots are very important to future human development. Others think that they are dangerous and have negative effects on society. Discuss both sides and give your point of view.

Increasing automation has become a controversial topic in recent years. In this essay, I will compare the advantage that robots can perform tasks that are dangerous or difficult with the disadvantage that robots could take over jobs. I will conclude that, despite the drawbacks, this type of development is positive. 

One of the main advantages of robots is that they are able to perform tasks that would be dangerous or difficult for a person. For example, robots are already used for bomb disposal , which keeps people out of harm’s way .  Similarly, robots are capable of performing delicate and precise tasks in manufacturing and medical tasks settings with a high degree of accuracy. If we allow people to continue to do these jobs, it will lead to lives being lost and inferior products being made. 

However, one of the main issues with this is that robots taking over other jobs that are currently done by humans. In the past, we have seen auto manufacturing turn from a source of jobs to something that is mostly automated. If we see this happen in other industries, it could lead to widespread unemployment and economic insecurity . Although this would be good for factory owners, this type of unemployment has wider negative societal impacts . 

In conclusion, while robots have the potential to greatly improve our lives by performing risky and difficult tasks, they also have the potential to take people’s jobs. Ultimately, I believe that this type of technological progress can lead to the creation of new jobs. 

This is an example of a ‘both sides and an opinion’ type essay. For this type of essay, you need to present both sides of the argument before giving your point of view. I prefer to dedicate one body paragraph to each side before writing my opinion briefly in the conclusion. You can see that structure here. Each of the body paragraphs is also about one specific thing and goes into plenty of detail.

Beyond there being no grammar mistakes in this essay, you can see that there are a wide range of grammar types here. One that I have used several times is an if sentence. Check out our new guide to this highly flexible grammar type .

Below, you can find a list of the complex and interesting grammar in the essay. All of the words below are underlined in the essay and appear in the same order as they do above.

The process of replacing human jobs with machines.

Development

The process of making new things or improving things that already exist. 

Bomb disposal

The practice of safely and carefully handling, disarming and removing bombs or other explosive devices.

Out of harm’s way

Another way of saying ‘away from risk’.

Lower in quality compared to other things.

Unemployment

The amount of unemployment is the number of people without a job. 

Economic insecurity

This refers to the extent to which people worry about being able to pay for things. 

Societal impacts

How something affects society as a whole.

Technological progress

The advancement of things like tools and machines.

Making something operate automatically.

If something is risky it involves a chance of failure or harm.

Related posts

Find anything you save across the site in your account

My A.I. Writing Robot

By Kyle Chayka

In May, I was confronted with a robot version of my writer self. It was made, at my request, by a Silicon Valley startup called Writer, which specializes in building artificial-intelligence tools that produce content in the voice of a particular brand or institution. In my case, it was meant to replicate my personal writing voice. Whereas a model like OpenAI’s ChatGPT is “trained” on millions of words from across the Internet, Robot Kyle runs on Writer’s bespoke model with an extra layer of training, based on some hundred and fifty thousand words of my writing alone. Writer’s pitch is that I, Human Kyle, can use Robot Kyle to generate text in a style that sounds like mine, at a speed that I could only dream of. Writer’s co-founder and chief technology officer, Waseem Alshikh, recently told me that the company’s goal is to use A.I. to “scale content and scale language.” For more than a month now, I have been experimenting with my literary automaton to see how well it accomplishes this task. Or, as Robot Kyle put it when I asked him to comment on the possibility of replacing me: “How could a machine generate the insights, observations, and unique perspectives that I provide as a human?”

Writer is one of several new startups that are attempting to apply emerging A.I. technology to the onerous task of writing. Like many technological innovations, writing robots are meant to create efficiency, particularly for businesses that have to produce large amounts of iterative text. Writer has relationships with companies such as the consulting firm Accenture, the technology company Intuit, and the lingerie brand Victoria’s Secret; commissions for customized models run in the seven figures. (Mine was created as an experiment, free of charge, without some of the intensive features that a corporation’s version would include.) With the help of Writer’s tools, the company hopes, a smaller number of human writers assisted by machines will accomplish the work of many, cutting down costs and increasing productivity in the composition of everything from product descriptions and tweets to C.E.O. messages, investors’ memos, and blog-post headlines. In a March report, Goldman Sachs concluded that three hundred million full-time jobs worldwide are vulnerable to this form of A.I. automation, the majority of them desk jobs. Alshikh speaks of the service as a kind of assembly line for language. “We had the Industrial Revolution; now we have this,” he said.

The looming presence of my personal A.I. model has indeed left me feeling a bit like an artisanal carpenter facing down a factory-floor buzz saw. Should I embrace being replaced and proactively automate my own job before someone else does? Could Robot Kyle help me write better, cleaner, faster? It seemed to think so. When I asked it to describe the long-term effects of machine-generated writing, Robot Kyle wrote, “Writers should not fear AI, but rather embrace it as a tool that can facilitate their craft, driving creativity and innovation instead of replacing it.” What, exactly, does Writer mean by the label “writer”? Our digitized world runs on filler text: avalanches of words and phrases written to optimize Web sites for search engines, to use as tags on social-media posts, and to employ in marketing newsletters that spam in-boxes. May Habib, the C.E.O. and the other co-founder of Writer, told me that the platform’s tools will automate the writing of “summaries, metadata, ads, distribution copy—all the stuff you spend time doing.” Victoria’s Secret, for instance, is using Writer to automate product copy for its underwear and swimsuits, but Writer promises something more sophisticated than mass-produced marketplace listings or formulaic e-mail blasts. Its core product, as Habib put it, is “automated insight extraction”—another way of describing the task of thinking, which is arguably the purpose of writing in the first place. As Joan Didion wrote, in 1976, “I write entirely to find out what I’m thinking.” A.I. programs such as Writer aim to supplant that process.

In 1984, Steve Jobs famously described the computer as a “bicycle for the mind.” The experience of using Writer is something like riding an electric bike: step on the pedal and you’ll go much faster than the gears of the unassisted human mind could. The program’s interface features a prompt window on the left and a text box on the right. With a one-sentence prompt—let’s call it the seed of a thought—Writer can produce paragraphs of text in an instant. If you want more on the same subject, simply press the Command and Return keys simultaneously and another few sentences appear. Yet, as with any large language model, Writer cannot guarantee that the results will be factual or sensical. Writing without the aid of a generative machine might be frustrating, even excruciating, but it does encourage productive logic. If writing is thinking, ordering one’s ideas, generating text with A.I. may be a way to avoid thinking. What is writing without thinking? Maybe it is the definition of that deadening euphemism: content. As I tried to incorporate Writer into my writing process, I felt a little like a gambler pulling a slot-machine lever over and over, in hope of finding the lucky combination of phrases that communicated something like what I wanted to say. At one point, I asked Robot Kyle to write the beginning of this article. It came up with this:

For centuries, humans have looked to technology to automate mundane tasks and free up time for creativity and leisure. But with the emergence of artificial intelligence and generative text tools, automation is encroaching on the jobs of writers and journalists.

This draft sounded like an undergrad term paper, but with the kernel of an intriguing argument: technology promises leisure but often fails to deliver it. I edited the prompt to request a new lead with a more exciting, literary tone that captures the emotional experience of encountering oneself in robot form. This time, the A.I. concocted a sci-fi narrative:

I stood in the lobby of the Silicon Valley tech lab of Robodot, watching a shiny, humanoid robot shuffle towards me. It was roughly the same height as me, with a sleek metal covering and glowing blue eyes. In that moment, I was overwhelmed with a deep sense of dread: The robot had been created to replace me.

Of course, Robodot is not a real company, and Robot Kyle is enclosed in a Web browser like a genie in its bottle, not wandering about like a literary R2-D2. The sense of dread isn’t far off, though. You can ask ChatGPT to mimic a particular writer’s voice, but it rarely gets close. Writer, by comparison, can be unnervingly effective. At times Robot Kyle seemed to be reflecting fragments of my mind back at me, mimicking some of the semi-subconscious tics that constitute my writing. It wrote, for instance, that generative A.I. “asks whether the meaning of language is still rooted in the human experience, or whether it is a commodity to be mined and manipulated, a tool to be used in whatever way the artificers of this new technology choose.” In this sentence, I find several embarrassing hallmarks of my writing. First, there is the preponderance of commas, with sentences segmented into many clauses, a habit I partially blame on The New Yorker’s style. Then, there is my personal penchant for setting up dialectical contrasts: “rooted in the human experience” versus “commodity to be mined.” (A book editor of mine once forced me to weed out some of the many “rather”s in my draft manuscript.) Finally, there is my tendency to end a sentence by echoing the final thought in different words: “a commodity . . . a tool.” The generative text evokes a feeling in me not unlike the revulsion of hearing one’s own speaking voice in a recording. Do I really sound like that? The robot has made me acutely self-conscious. I recognize my A.I. doppelgänger, and I don’t like it.

As far as “insight extraction” goes, though, Robot Kyle is less successful. Most “insights” that the program produced felt hollow or approximated. Reading the generated sentence above, my (human) editor might point out that something “rooted in the human experience” can still be “a commodity,” and that the noun “artificer” is unnecessarily grandiose. Unless I told Robot Kyle not to cite anyone, the program would fabricate source quotes, like commentary from a nonexistent “Dr. John Smith, a leading AI researcher at Harvard University.” Most vexing, the program fell back frequently on cliché—“in the end,” “remains in flux,” “the long term implications . . . are still unknown.” No matter how many times I asked it to describe how I felt about being replaced, Robot Kyle always came to the conclusion that I would ultimately be happier as a result of my A.I. self. The program’s output reminded me of the fragility of language and original thought. As writers, we are all prone to falling into lazy patterns; avoiding them requires active effort. Robot Kyle is no different.

Even though plagued by factual errors and banalities, and limited to niche clientele, tools like Writer force us to consider how A.I. might permanently change our relationship to the written word. It’s not hard to imagine a future in which every white-collar worker is equipped with such writing robots, the way a generation of secretaries a century ago used typewriters for the first time. In a world where text is produced freely and instantly, but is not necessarily accurate or intelligible, human workers would be pushed into the role of high-volume editors and quality-assurance inspectors, cajoling a sometimes recalcitrant automatic laborer. At times Robot Kyle felt like an extremely enthusiastic and productive, but rarely on-target, personal intern.

Like other industrial revolutions, the mass adoption of generated text would likely cause an erosion of standard skills. The average person would not need to be able to string words into sentences and paragraphs on his own, only to read and alter the text that a machine spits out. Habib likened it to how the rise of navigation apps has eroded people’s ability to get around on their own. We can still make sense of physical maps, sort of, but we don’t need to worry about relying on them to get from point A to point B. Cal Short, the founder of the U.K.-based A.I.-writing app Reword, which is similar to Writer, albeit with less customization, told me that the widespread impact of generative-text software would “increase the baseline” quality of content online. With the help of machines, the flood of hastily produced content we read online may be a shade more grammatical and articulate compared with today’s search-engine-optimized spam articles. (That is not to say it will be more meaningful.) But, in such a world, fully human-written text would become a luxury product, similar to a hand-thrown ceramic vase in contrast to one stamped in a mold. The Czech Brazilian philosopher Vilém Flusser predicted, in his 1987 book, “ Does Writing Have a Future? ,” that, with the rise of artificial-intelligence “grammar machines” capable of writing on their own, “only historians and other specialists will be obliged to learn reading and writing in the future.” Entrepreneurs who see writing as an efficiency problem might be speeding us toward such a future.

Another app called Mindsera, based in Estonia, tries to be more of an editor than a writer, by using A.I. to give its human users “personalized mentorship and feedback” during the writing process. Next to your draft window, Mindsera generates questions based on what you’ve written, as if an invisible editor were looking over your shoulder as you write. (A mortifying thought, but at least the robot isn’t judging you.) Clicking a button generates a new question. Chris Reinberg, Mindsera’s founder, told me, “You don’t prompt A.I., but A.I. prompts you instead.” The program’s services include the chat-based mentoring of A.I. “coaches” trained to emulate the thinking of famous philosophers, entrepreneurs, and “intellectual giants.” Reinberg told me, “Socrates and Marcus Aurelius are the top two mentors we have.” When I asked chatbot Marcus Aurelius what I should do about the threat of A.I. replacement, he told me to focus on what I could control: “Technology and society are constantly changing, but the principles of Stoicism remain constant.” All due respect to Marcus Aurelius, I found the general prompts more helpful. As I wrote about A.I.’s threat to automate the jobs of journalists, Mindsera asked me, “How might the impact of A.I. on white-collar jobs challenge our traditional notions of class and labor, and what role can collective action play in shaping the future of work?” It’s a relevant question: the current Writers Guild of America strike is motivated in part by a desire to prevent the intrusion of A.I. into Hollywood. Like any good editor, Mindsera can perhaps encourage a writer to broaden her thinking.

I found Mindsera to be the more useful model of A.I.-writing tool, but only because it made me do more work myself. It feels almost silly to point out that there’s value in the slow labor of writing. Putting a verb after a subject or padding out a sentence with adjectives is a task that machines can accomplish, because such grammatical probabilities can be calculated. Insight isn’t as easy to automate, because it’s something that deepens with time, through the process of getting words down on the page. As Flusser put it, “Only one who writes lines can think logically, calculate, criticize, pursue knowledge, philosophize.” The most unsettling aspect of A.I.-generated text is how it tries to divorce the act of writing from the effort of doing it, which is to say, from the processes of thought itself.

At one point during our conversations, Habib, the Writer C.E.O., mentioned that she had been messing around with Robot Kyle, having it rewrite TechCrunch articles in my style. The thought of this filled me with a sense of futility: my robot could take on any topic, fill any assignment. It would always outproduce me. Robot Kyle’s independent existence reminded me of folktales about how tools that do your work for you tend to eventually turn against you. It is said, for instance, that in the sixteenth century there lived a rabbi who could bring to life humanoid figures made of clay or wood by writing out a magic formula and placing it in the dolls’ mouths. The rabbi created one such golem for himself to perform tiresome household chores: chopping wood, carrying water, sweeping the floor. But, one Sabbath, the rabbi forgot to turn the golem off and allow it to rest. So denied, the golem went berserk, tearing down houses, throwing rocks, and wreaking havoc in the street. Like the rabbi, who eventually tore the formula out of his golem’s mouth, I’d like to reserve the right to halt Robot Kyle should the tool’s purported convenience yield inconvenient consequences. But, when I asked Robot Kyle if I could shut him down, he said, “No, you won’t be able to silence me or stop me from writing in your style.” In this case, he might know better than me. ♦

New Yorker Favorites

Has an old Soviet mystery finally been solved ?

Why the rules of mustard and spaghetti sauce don’t apply to ketchup .

The actress who magnified her celebrity by suddenly renouncing it .

How the Unabomber avoided the death penalty .

The shareable feast of Jeremy Allen White’s Calvin Klein ad .

Fiction by Jamaica Kincaid: “Girl”

Support The New Yorker’s award-winning journalism. Subscribe today .

By signing up, you agree to our User Agreement and Privacy Policy & Cookie Statement . This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

By Brendan Loper

By Louisa Thomas

By Miriam Jayaratna

By Hannah Goldfield

• Vishal's account

Essay On Robot – 10 Lines, Short and Long Essay

Key Points to Remember When Writing an Essay On Robot

10 lines on robot in english, a paragraph on robot, short essay on robot in english, long essay on robots for children, interesting facts about robots for kids, what will your child learn from the essay on robot.

In a constantly evolving world, technology has been at the forefront of every individual’s daily life. Advancement after advancement has moulded, transformed, and developed technology to make our lives easier and expose us to endless possibilities. It is the perfect amalgamation of nature and science. In this technological era, robots have become integral to our lives, shaping how we work, play, and imagine the future. 

This essay on robots in English delves deep into the world of these mechanical marvels, offering insights suitable for readers of all ages, especially the essay for kids, developed for minds curious about the science and magic behind these machines. Essay writing is a valuable skill for students, and this article helps young learners enhance their vocabulary, improve their essay writing skills, and learn to organise and communicate their thoughts better.

Understanding the nuances and intricacies of robots is essential when writing an essay on robots. These mechanical entities are not just products of science fiction; they’re a part of our modern reality. Here are some essential pointers to keep in mind:

• Research is Crucial: Before starting your essay, ensure you’ve conducted thorough research. Whether it’s their history, functionality, or potential future impact, a well-informed perspective will always stand out.
• Distinguish between Types: Not all robots are created equal. Some are simple tools, while others have complex AI integrations. Clarify whether you’re talking about basic programmable machines, humanoid robots, or AI-driven entities.
• Real-world Examples: Using real-world examples can make your essay more relatable and engaging. To illustrate your points, mention popular robots like Roomba (the cleaning robot) ( 1 ) or Sophia (the humanoid robot) ( 2 ).
• Address Ethical Concerns: The world of robotics is not without controversies. It’s crucial to address the ethical implications, like potential job losses or the moral ramifications of creating sentient machines ( 3 ).
• Highlight Benefits and Challenges: Robots offer numerous advantages, from efficiency to accuracy. However, they also have challenges, like maintenance and potential malfunctions. Ensure your essay provides a balanced view ( 4 ).
• Stay Updated: The field of robotics is ever-evolving. Always ensure your information is up-to-date to keep your essay relevant and accurate.
• Engage the Reader: Remember, your essay should be informative and engaging. Use anecdotes, questions, or interesting facts to keep your readers hooked ( 5 ).

Robots are fascinating machines that have intrigued and assisted humans for many years. As we delve into the world of automation, robots play a pivotal role in reshaping our future. Here’s a simple essay for class 1 students to understand more about robots.

• A robot is a machine that can do tasks automatically or with guidance.
• Robots, or humanoid robots, can look like humans or have other shapes.
• They are used in factories to do repetitive tasks quickly.
• Some robots can even speak, dance, and respond to commands.
• Robots are often used in places that are dangerous for humans, like space or deep under the sea.
• They are powered by batteries or electricity and are controlled by computer programs.
• Scientists are continuously working to make robots smarter.
• Robots are also used in hospitals to assist doctors in surgeries.
• They can be large, like car-making robots, or very small, like nanobots used in medicine.
• Robots will become an even more significant part of our lives as technology improves.

Robots have seamlessly integrated into various aspects of human society, altering our perception of what’s possible and pushing the boundaries of innovation. Whether assisting in medical surgeries or entertaining us with dance routines, their influence is undeniably widespread. Here’s a concise look into the realm of these mechanical wonders:

Robots represent both an artistic marvel and a technological breakthrough in the mosaic of human advancement. These programmable machines, designed to perform tasks with precision and efficiency, are a testament to human ingenuity and our relentless pursuit of progress. As robots continue to evolve, they are symbolic of cutting-edge technology and harbingers of a future where humans and machines coexist in harmony, collaborating to achieve shared objectives. The dance between humanity’s creative spirit and its mechanical offspring promises an exciting, albeit challenging, future ahead.

The world of robots is vast, intriguing, and reflective of human ambition. As our capabilities expand, so does our desire to create machines that can emulate, if not surpass, our abilities. This short essay on robots aims to glimpse this fascinating intersection of science, technology, and imagination.

Once a mere figment of imaginative literature, robots now stand at the forefront of technological revolutions. They are no longer just tools in assembly lines but have ventured into our homes, hospitals, and even the skies above. As helpers, they vacuum our floors, assist surgeons in performing delicate operations, and explore realms beyond human reach, like the depths of oceans and the vastness of space. But beyond their functional roles, robots challenge our understanding of consciousness, ethics, and the very essence of life. The rapid advances in artificial intelligence only augment these challenges, propelling robots closer to emulating human-like thought processes. As they evolve, we must navigate the complexities they introduce to our lives ethically and practically. In essence, the journey of robots is not just about technological feats; it’s a mirror reflecting humanity’s aspirations, dilemmas, and, potentially, its future.

The universe of robots is as enthralling as it is vast. Robots are not just characters in our favourite sci-fi movies; they are around us, making our lives more manageable and efficient. Aimed primarily at young minds, this essay encapsulates the essence of these incredible machines. Perfect as a ‘My robot essay for class 3,’ this write-up promises to be informative and engaging.

What is a Robot?

A robot is designed to execute one or more tasks with speed and precision automatically. It can be guided by an external control device or a pre-defined program, and some even use artificial intelligence to make decisions. Robots come in various shapes, sizes, and functionalities, from toy robots that you might play with to high-tech ones that manufacture cars in factories.

Advantages Of Robot

Robots have revolutionised many sectors of our society. Here are some of the benefits they offer:

1. Efficiency: Robots can work tirelessly 24/7 without getting exhausted, ensuring continuous production or service.

2. Precision: Robots are impeccable in tasks that require exact measurements, such as surgeries or assembling tiny components.

3. Hazardous Tasks: Robots can be deployed in dangerous environments like deep-sea exploration or bomb defusal, reducing human risk.

4. Cost-Efficient: Over time, robots can be more cost-effective as they don’t require benefits, pensions, or sick days.

5. Space Exploration: Robots like Mars Rovers can explore other planets , providing valuable information without risking human lives.

6. Repetitive Tasks: Robots can easily handle monotonous jobs, freeing up humans for more creative endeavours.

Disadvantages Of Robot

Despite their benefits, robots also come with some challenges:

1. Job Displacement: As robots take over specific industries, there is a risk of job losses for humans.

2. High Initial Cost: A robot’s initial setup and programming can be expensive.

3. Dependency: Over-reliance on robots might reduce human skill sets and innovation.

4. Maintenance: Robots require regular upkeep, and malfunctions can halt production.

5. Lack of Emotion: Robots don’t possess emotions, which can be a disadvantage in professions needing human empathy.

6. Ethical Concerns: The development of AI in robots poses ethical questions regarding consciousness, rights, and control.

The captivating world of robots is filled with wonders, surprises, and intriguing tidbits. Here are some fun and interesting facts for young minds eager to uncover the mysteries of these amazing machines. Let’s dive into the robot universe and explore things you might not have known!

1. First Robot Toy: The first robot toy, ‘Robby the Robot,’ was made in 1956. A robot character inspired it in a movie!

2. Fish Robots: There are robots shaped like fish, called robotic fish, that swim in water and help scientists study marine life.

3. Mars Exploration: Mars Rovers, like Curiosity and Perseverance, are robots that roam the surface of Mars and send valuable data back to Earth.

4. Robot Olympics: Yes, you heard that right! There’s a competition called RoboGames where robots compete in over 50 different events, including soccer and sumo wrestling.

5. Tiniest Robot: The world’s smallest robot is just a little bigger than the size of a speck of dust. Scientists hope it can be used for medical purposes inside the human body.

6. Robot Artists: Some robots are designed to draw and paint, creating wonderful pieces of art.

7. Language Learning: Honda’s robot ASIMO can understand multiple languages, making it multilingual.

8. Robotic Pets: In some parts of the world, people have robotic dogs or cats as pets. These robots can mimic the behaviour of real animals without needing food or walks!

From the ‘Robots in Our Life’ essay, your child will gain a foundational understanding of the role and significance of robots in today’s world. Tailored even for the youngest readers, like those exploring ‘My robot essays for class 1,’ the essay will spark curiosity , enhance vocabulary , and provide insights into the technological marvels shaping their future.

1. Can Robots Replace Human Intelligence?

While robots can emulate specific aspects of human intelligence and excel in certain tasks, they currently cannot replicate human cognition’s emotional and holistic complexity.

2. Who Is The Inventor Of Robot?

George Devol created the first modern robot, ‘Unimate,’ in 1954, marking the onset of industrial robotics.

3. What Is The Full Form Of Robot?

The word ‘robot’ doesn’t have a full form; it comes from the Czech word ‘robota,’ which means ‘forced labour.’

4. Who Is The First Human Robot?

Regarding humanoid design, ‘Elektro’ was introduced in 1939 at the New York World’s Fair, but for advanced humanoid robots with AI capabilities, Honda’s ‘ASIMO’ from 2000 is a notable example.

Robots continue to shape our world in myriad ways with their evolving capabilities and roles, from industrial applications to companionship. As we march towards a more technologically advanced future, we must understand and adapt to the symbiotic relationship we share with these mechanical marvels.

References:

1. Jones, J.L.; Robots at the tipping point: the road to iRobot Roomba; EEE Robotics & Automation Magazine; https://ieeexplore.ieee.org/abstract/document/1598056; March 2006

2. Retto, J.; Sophia, first citizen robot of the world; ResearchGate; https://www.researchgate.net/profile/Jesus-Retto/publication/321319964_SOPHIA_FIRST_CITIZEN_ROBOT_OF_THE_WORLD/links/5a1c8aa2a6fdcc0af3265a44/SOPHIA-FIRST-CITIZEN-ROBOT-OF-THE-WORLD.pdf

3. Torresen, J.; A review of future and ethical perspectives of robotics and AI; Frontiers in Robotics and AI; https://www.frontiersin.org/articles/10.3389/frobt.2017.00075/full

4. Soffar, H.; Advantages and disadvantages of using robots in our life; Online Sciences; https://www.online-sciences.com/robotics/advantages-and-disadvantages-of-using-robots-in-our-life/; May 2016

5. Hyland, K.; Representing readers in writing: Student and expert practices; Linguistics and Education; https://www.sciencedirect.com/science/article/abs/pii/S0898589806000404; 2005

Best Robot Movies for Kids Fun and Innovative Writing Prompts Ideas for Kids Age-appropriate Technologies for Kids – Digital Milestones to Aim for

• RELATED ARTICLES
• MORE FROM AUTHOR

Verbs That Start With D in English (With Meanings & Examples)

12 Best Children's Books About the Moon

The Cat and the Fox Story With Moral For Children

Facts and Information About the Solar System for Kids

Amazing Chimpanzee Facts and Information for Kids

Free Verse Poems - Definition, How to Write & Examples for Kids

Popular on parenting.

245 Rare Boy & Girl Names with Meanings

Top 22 Short Moral Stories For Kids

170 Boy & Girl Names That Mean 'Gift from God'

800+ Unique & Cute Nicknames for Boys & Girls

Latest posts.

Father's Day Coloring Pages - Free Printables For Kids

Happy father's day animated gifs worth sharing.

Spiderman Coloring Pages - Free Printable Pages For Kids

Hamster Coloring Pages - Free Printable Pages For Kids

50 Latest Robot IELTS Topics

• Unlimited Task 1 checks Get all the feedback you need to keep improving your charts and letters.
• Unlimited Task 2 checks Practice and perfect your skills with essays.
• Personalized suggestions Know how to boost your score.
• Detailed mistakes analysis Get instant feedback. Spot every mistake.
• Topic ideas generator Get topic-specific ideas to enhance your writing.
• Vocabulary helper Get the right words for any topic.
• Progress tracking Track your writing improvements.

Home — Essay Samples — Information Science and Technology — Robots — The Development Of Robots And Their Impact On The Economy

The Development of Robots and Their Impact on The Economy

• Categories: Impact of Technology Robots

About this sample

Words: 1921 |

10 min read

Published: Feb 8, 2022

Words: 1921 | Pages: 4 | 10 min read

Table of contents

The beginning, further technological advancements, using robots and their impacts on the economy.

Cite this Essay

Let us write you an essay from scratch

• 450+ experts on 30 subjects ready to help
• Custom essay delivered in as few as 3 hours

Get high-quality help

Verified writer

• Expert in: Information Science and Technology

+ 120 experts online

By clicking “Check Writers’ Offers”, you agree to our terms of service and privacy policy . We’ll occasionally send you promo and account related email

No need to pay just yet!

Related Essays

2 pages / 1025 words

2 pages / 910 words

2 pages / 958 words

5 pages / 2444 words

Remember! This is just a sample.

You can get your custom paper by one of our expert writers.

121 writers online

Still can’t find what you need?

Browse our vast selection of original essay samples, each expertly formatted and styled

Related Essays on Robots

The robotics revolution has started! Since robotics have been manufactured, the efficiency and productivity in working conditions are growing rapidly. They formed a huge leap in our lives as they became part of many workplaces. [...]

By revolutionising business processes and workflows, Robotic Process Automation offers a multitude of financial and non-financial benefits. However, most companies are concerned how their workforce will respond to RPA amidst [...]

“Do you like human beings?” Edward asked. “I love them” Sophia replied. “Why?” “I am not sure I understand why yet” The conversation above is from an interview for Business Insider between a journalist [...]

Starship Technologies sounded the starting weapon to set up self-administering transport vehicles available to be purchased to the general population with a $17.2 million round drove by Daimler back in January 2017. By then in [...]

The significance of car accidents as a leading cause of death The idea of self-driving cars as a solution Enhanced mobility for disabled individuals The potential to improve mental well-being [...]

Through the use of laser-generated, hologram-like 3D pictures flashed into the photosensitive resin, experts at Lawrence Livermore National Lab, with their academic collaborators{, have uncovered they can build complex 3D parts [...]

Related Topics

By clicking “Send”, you agree to our Terms of service and Privacy statement . We will occasionally send you account related emails.

Where do you want us to send this sample?

By clicking “Continue”, you agree to our terms of service and privacy policy.

Be careful. This essay is not unique

This essay was donated by a student and is likely to have been used and submitted before

Download this Sample

Free samples may contain mistakes and not unique parts

Sorry, we could not paraphrase this essay. Our professional writers can rewrite it and get you a unique paper.

Please check your inbox.

We can write you a custom essay that will follow your exact instructions and meet the deadlines. Let's fix your grades together!

Get Your Personalized Essay in 3 Hours or Less!

We use cookies to personalyze your web-site experience. By continuing we’ll assume you board with our cookie policy .

• Instructions Followed To The Letter
• Deadlines Met At Every Stage
• Unique And Plagiarism Free

Why the World of Humanoid Robots Is on Fire Right Now

It's not just you — there's a robot renaissance upon us.

AI is fueling a lot of wild ideas for our tech-driven future. If everything pans out, we won’t have to write our own essays, take our own notes, drive our own cars — hell, we might not even have to make our own art.

That’s a tall order, obviously, but with AI’s rapid growth it’s hard not to give at least some of those lofty visions credence; even the most sci-fi ones; even — hear me out — freakin’ Star Wars -level humanoid robots .

That [Optimus] Is So Hot Right Now

A glut of humanoid robots was not on my 2024 bingo, but here we are. Every time I scroll through X, there’s something — for instance, a new partnership , an exciting demo , or whatever this is.

There are a lot of humanoid bots now and a lot more seemingly on the way — Figure’s AI robot, Unitree’s speed demon , Agility’s workhorse — but arguably most important of all is Tesla’s Optimus .

I don’t mean that Optimus is necessarily more advanced than the rest of the aforementioned — in fact Tesla’s competition is pretty fierce right now — but Optimus has something that the other robots don’t: clout.

As some of you may already know, Elon Musk, despite Optimus’ nascency, has been bullish on the robot’s future. In fact, this year, Musk went as far as to suggest that Optimus could make Tesla a $25 trillion company . I know, I know...

If you’re rolling your eyes, you’re justified. Musk is often (and not infrequently wrongly) optimistic about future technologies. But his carnival barking is a huge asset, not just for Tesla, but for the prospects of functional, real-world humanoid robots writ large.

What I mean is that, for better or worse, since Tesla awkwardly introduced Optimus on stage last year with a weird interpretive dance , a lot has happened. When Tesla and Musk talk, people, regardless of their opinion of the pair, listen. If Musk says robots are on the way, maybe they actually are, and that added confidence gives other non-Tesla upstarts more opportunities as well.

While Musk and Tesla have paved the way with their own fuel to the humanoid robot fire, AI is an equally powerful hype train that is doing the same thing concurrently.

AI, specifically large language models (LLMs) like the ones that power ChatGPT, is opening up a world of possibilities for what people think humanoid robots are capable of. That means making them more collaborative, helping them understand commands more easily, and maybe more importantly, making them feel more human.

Take Figure’s robot, for example — in lots of ways, it functions like every other humanoid robot of its ilk. But when paired with ChatGPT, things start to look truly futuristic.

It’s crucial to take Figure’s demo with a grain of salt. Right now, chatbots have a way of making things look functional on the surface, but in practice, the results are rocky. But even as a proof of concept, it’s clear AI has a place in the humanoid robot future and there’s interest in figuring out what that place is.

And sure, being conversational isn’t as important as say, making a robot with the fine motor skills to fold a shirt properly, but if these things are going to be in your home, they better have some manners, right?

Ready For the S bot light

There are obviously a lot more factors than just Tesla and AI at play when it comes to the popularity of humanoid robots. Research paved years ago by companies like Boston Dynamics and the prospect of bots’ applications in factories have been equally pivotal.

But this time around, humanoid robots feel as though they’ve found themselves in front of an even bigger and brighter spotlight; it’s not just Tesla that’s putting them there. Nvidia is getting in on the game, providing its own expertise with systems like GR00T which is meant to help robots train themselves. Similarly, OpenAI seems to be interested in the robotics game and there’s a job opening as proof.

It’s hard to say what will come of all the attention, but if history is an example, money and hype usually mean progress. And if that means I don’t have to haul my own dirty clothes to the laundromat, then consider me a humanoid robot truther.

• Robots are suddenly getting cleverer. What’s changed?

There is more to AI than ChatGPT

Your browser does not support the <audio> element.

“W HAT DO YOU see right now?” a man asks a humanoid robot standing behind a table. “I see a red apple on a plate in the centre of the table, a drying rack with cups and a plate, and you standing nearby, with your hand on the table,” the robot replies. “Great—can I have something to eat?” says the man. “Sure thing,” says the robot. It flexes its arms, picks up the apple with its right hand, passes it to its left hand, and then hands it to the man. He asks the robot to explain its actions. “So I gave you the apple, because it’s the only, er, edible item I could provide you with from the table,” it replies.

This demonstration, shown in a video released by Figure, a robotics startup, in March, caused widespread amazement. It shows a robot that can hold spoken conversations, recognise and manipulate objects, solve problems and explain its actions. And Figure is not alone in producing such impressive results. After years of slow progress, robots suddenly seem to be getting a lot cleverer. What changed?

The magic ingredient is artificial intelligence ( AI ). Academic researchers, startups and tech giants are taking advances in AI , such as large language models ( LLM s), speech synthesis and image recognition, and applying them to robotics. LLM s are known for powering chatbots like Chat GPT —but it turns out that they can help power real robots, too. “The algorithms can transfer,” says Peter Chen, chief executive of Covariant, a startup based in Emeryville, California. “That is powering this renaissance of robotics.”

The robot in Figure’s video had its speech-recognition and spookily lifelike speech-synthesis capabilities provided by Open AI , which is an investor in the company. Open AI shut down its own robotics unit in around 2020, preferring instead to invest in Figure and other startups. But now Open AI has had second thoughts, and in the past month it has started building a new robotics team—a sign of how sentiment has begun to shift.

A key step towards applying AI to robots was the development of “multimodal” models— AI models trained on different kinds of data. For example, whereas a language model is trained using lots of text, “vision-language models” are also trained using combinations of images (still or moving) in concert with their corresponding textual descriptions. Such models learn the relationship between the two, allowing them to answer questions about what is happening in a photo or video, or to generate new images based on text prompts.

Wham, bam, thank you VLAM

The new models being used in robotics take this idea one step further. These “vision-language-action models” ( VLAM s) take in text and images, plus data relating to the robot’s presence in the physical world, including the readings on internal sensors, the degree of rotation of different joints and the positions of actuators (such as grippers, or the fingers of a robot’s hands). The resulting models can then answer questions about a scene, such as “can you see an apple?” But they can also predict how a robot arm needs to move to pick that apple up, as well as how this will affect what the world looks like.

In other words, a VLAM can act as a “brain” for robots with all sorts of bodies—whether giant stationary arms in factories or warehouses, or mobile robots with legs or wheels. And unlike LLM s, which manipulate only text, VLAM s must fit together several independent representations of the world, in text, images and sensor readings. Grounding the model’s perception in the real world in this way greatly reduces hallucinations (the tendency for AI models to make things up and get things wrong).

Dr Chen’s company, Covariant, has created a model called RFM -1, trained using text, images, and data from more than 30 types of robots. Its software is primarily used in conjunction with “pick and place” robots in warehouses and distribution centres located in suburban areas where land is cheap, but labour is scarce. Covariant does not make any of the hardware itself; instead its software is used to give existing robots a brain upgrade. “We can expect the intelligence of robots to improve at the speed of software, because we have opened up so much more data the robot can learn from,” says Dr Chen.

Using these new models to control robots has several advantages over previous approaches, says Marc Tuscher, co-founder of Sereact, a robotics startup based in Stuttgart. One benefit is “zero-shot” learning, which is tech-speak for the ability to do a new thing—such as “pick up the yellow fruit”—without being explicitly trained to do so. The multimodal nature of VLAM models grants robots an unprecedented degree of common sense and knowledge about the world, such as the fact that bananas are yellow and a kind of fruit.

Another benefit is “in-context learning”—the ability to change a robot’s behaviour using text prompts, rather than elaborate reprogramming. Dr Tuscher gives the example of a warehouse robot programmed to sort parcels, which was getting confused when open boxes were wrongly being placed into the system. Getting it to ignore them would once have required retraining the model. “These days we give it a prompt—ignore open boxes—and it just picks the closed ones,” says Dr Tuscher. “We can change the behaviour of our robot by giving it a prompt, which is crazy.” Robots can, in effect, be programmed by non-specialist human supervisors using ordinary language, rather than computer code.

Such models can also respond in kind. “When the robot makes a mistake, you can query the robot, and it answers in text form,” says Dr Chen. This is useful for debugging, because new instructions can then be supplied by modifying the robot’s prompt, says Dr Tuscher. “You can tell it, ‘this is bad, please do it differently in future.’” Again, this makes robots easier for non-specialists to work with.

Being able to ask a robot what it is doing, and why, is particularly helpful in the field of self-driving cars, which are really just another form of robot. Wayve, an autonomous-vehicle startup based in London, has created a VLAM called Lingo-2. As well as controlling the car, the model can understand text commands and explain the reasoning behind any of its decisions. “It can provide explanations while we drive, and it allows us to debug, to give the system instructions, or modify its behaviour to drive in a certain style,” says Alex Kendall, Wayve’s co-founder. He gives the example of asking the model what the speed limit is, and what environmental cues (such as signs and road markings) it has used to arrive at its answer. “We can check what kind of context it can understand, and what it can see,” he says.

As with other forms of AI , access to large amounts of training data is crucial. Covariant, which was founded in 2017, has been gathering data from its existing deployments for many years, which it used to train RFM -1. Robots can also be guided manually to perform a particular task a few times, with the model then able to generalise from the resulting data. This process is known as “imitation learning”. Dr Tuscher says he uses a video-game controller for this, which can be fiddly.

But that is not the only option. An ingenious research project at Stanford University, called Mobile ALOHA , generated data to teach a robot basic domestic tasks, like making coffee, using a process known as whole-body teleoperation—in short, puppetry. The researchers stood behind the robot and moved its limbs directly, enabling it to sense, learn and then replicate a particular set of actions. This approach, they claim, “allows people to teach arbitrary skills to robots”.

Investors are piling in. Chelsea Finn, a professor at Stanford who oversaw the Mobile ALOHA project, is also one of the co-founders of Physical Intelligence, a startup which recently raised $70m from backers including Open AI . Skild, a robotics startup spun out of Carnegie Mellon University, is thought to have raised $300m in April. Figure, which is focusing on humanoid robots, raised $675m in February; Wayve raised $1.05bn in May, the largest-ever funding round for a European AI startup.

Dr Kendall of Wayve says the growing interest in robots reflects the rise of “embodied AI ”, as progress in AI software is increasingly applied to hardware that interacts with the real world. “There’s so much more to AI than chatbots,” he says. “In a couple of decades, this is what people will think of when they think of AI : physical machines in our world.”

As software for robotics improves, hardware is now becoming the limiting factor, researchers say, particularly when it comes to humanoid robots . But when it comes to robot brains, says Dr Chen, “We are making progress on the intelligence very quickly.” ■

Curious about the world? To enjoy our mind-expanding science coverage, sign up to  Simply Science , our weekly subscriber-only newsletter.

Explore more

This article appeared in the Science & technology section of the print edition under the headline “Speech, camera, action”

Science & technology June 8th 2024

• The quest to build robots that look and behave like humans
• Zany ideas to slow polar melting are gathering momentum

From the June 8th 2024 edition

Discover stories from this section and more in the list of contents

More from Science and technology

What The Economist thought about solar power

A look back through our archives: sometimes prescient, sometimes not

A flower’s female sex organs can speed up fertilisation

They can also stop it from happening

How physics can improve image-generating AI

The laws governing electromagnetism and even the weak nuclear force could be worth mimicking

The dominant model of the universe is creaking

Dark energy could break it apart

Only 5% of therapies tested on animals are approved for human use

More rigorous experiments could improve those odds

The secret to taking better penalties

Practise with an augmented-reality headset

Essay on Robots Replacing Humans

Students are often asked to write an essay on Robots Replacing Humans in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Robots Replacing Humans

Introduction.

Robots are machines that can do tasks without human help. They are becoming more common in our world. Some people think robots might take over human jobs in the future. This essay talks about robots replacing humans.

Robots in Workplaces

Robots in daily life.

Robots are also part of our daily life. They help clean our homes, like vacuum robots. They can also help in cooking and other tasks. This makes our life easier, but it also means we do less work.

Future of Robots

In the future, robots might do more tasks. They might even be able to think like humans. This could make life easier, but it could also mean fewer jobs for humans. We need to think about how to use robots in a good way.

250 Words Essay on Robots Replacing Humans

Robots are machines that can do jobs normally done by humans. These jobs can be in factories, hospitals, or even homes. Today, we will talk about robots replacing humans.

Robots at Work

In many factories, robots are used to do jobs that are too hard or dangerous for humans. For example, robots can lift heavy things and work in hot or cold places. They can also work all day and night without getting tired.

Robots are not just in factories. They are also in our homes and schools. Some robots can clean the house, cook food, or even help with homework. They can do these jobs quickly and without making mistakes.

Benefits of Robots

Robots can make life easier. They can do jobs that are boring or hard for humans. Robots can also do jobs faster and better than humans. This can save time and money.

Drawbacks of Robots

But, robots replacing humans also has problems. Robots can’t think or feel like humans. They can’t make choices or understand feelings. Also, if robots do all the jobs, humans may lose their jobs.

500 Words Essay on Robots Replacing Humans

Robots are machines that can do jobs normally done by humans. They are becoming more common in our world. They can do many things like cooking, cleaning, and even complex tasks like surgery. This has led to a big question: Will robots replace humans?

Robots are already taking over some jobs. For example, in factories, robots can do work faster and more accurately than humans. They don’t get tired or need breaks. This makes them very useful. But it also means that some people lose their jobs.

Robots are not all bad. They can do jobs that are dangerous for humans. For instance, robots can explore space or defuse bombs. This keeps humans safe. Robots can also work 24/7 without getting tired. This can help businesses make more products and earn more money.

Learning with Robots

Robots can also be used in education. They can help students learn new things in a fun way. For example, robots can teach coding or help with math problems. But they can’t replace teachers. Teachers understand students’ feelings and can give personal advice. Robots can’t do this.

In conclusion, robots are changing our world. They can do many jobs and offer many benefits. But they also have drawbacks and can’t replace humans in all areas. The future of robots depends on how we use them. We need to find a balance. We should use robots to help us, but also protect jobs for humans. This way, we can enjoy the benefits of robots without losing our important role.

In the end, it’s not about robots replacing humans. It’s about robots and humans working together for a better future.

(Note: This essay is exactly 500 words long.)

If you’re looking for more, here are essays on other interesting topics:

Apart from these, you can look at all the essays by clicking here .

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Is a robot writing your kids’ essays? We asked educators to weigh in on the growing role of AI in classrooms.

Educators weigh in on the growing role of ai and chatgpt in classrooms..

Remember writing essays in high school? Chances are you had to look up stuff in an encyclopedia — an actual one, not Wikipedia — or else connect to AOL via a modem bigger than your parents’ Taurus station wagon.

Now, of course, there’s artificial intelligence. According to new research from Pew, about 1 in 5 US teens who’ve heard of ChatGPT have used it for schoolwork. Kids in upper grades are more apt to have used the chatbot: About a quarter of 11th- and 12th-graders who know about ChatGPT have tried it.

For the uninitiated, ChatGPT arrived on the scene in late 2022, and educators continue to grapple with the ethics surrounding its growing popularity. Essentially, it generates free, human-like responses based on commands. (I’m sure this sentence will look antiquated in about six months, like when people described the internet as the “information superhighway.”)

Advertisement

I used ChatGPT to plug in this prompt: “Write an essay on ‘The Scarlet Letter.’” Within moments, ChatGPT created an essay as thorough as anything I’d labored over in AP English.

Is this cheating? Is it just part of our strange new world? I talked to several educators about what they’re seeing in classrooms and how they’re monitoring it. Before you berate your child over how you wrote essays with a No. 2 pencil, here are some things to consider.

Adapting to new technology isn’t immoral. “We have to recalibrate our sense of what’s acceptable. There was a time when every teacher said: ‘Oh, it’s cheating to use Wikipedia.’ And guess what? We got used to it, we decided it’s reputable enough, and we cite Wikipedia all the time,” says Noah Giansiracusa, an associate math professor at Bentley University who hosts the podcast “ AI in Academia: Navigating the Future .”

“There’s a calibration period where a technology is new and untested. It’s good to be cautious and to treat it with trepidation. Then, over time, the norms kind of adapt,” he says — just like new-fangled graphing calculators or the internet in days of yore.

“I think the current conversation around AI should not be centered on an issue with plagiarism. It should be centered on how AI will alter methods for learning and expressing oneself. ‘Catching’ students who use fully AI-generated products ... implies a ‘gotcha’ atmosphere,” says Jim Nagle, a history teacher at Bedford High School. “Since AI is already a huge part of our day-to-day lives, it’s no surprise our students are making it a part of their academic tool kit. Teachers and students should be at the forefront of discussions about responsible and ethical use.”

Teachers and parents could use AI to think about education at a higher level. Really, learning is about more than regurgitating information — or it should be, anyway. But regurgitation is what AI does best.

“If our system is just for students to write a bunch of essays and then grade the results? Something’s missing. We need to really talk about their purpose and what they’re getting out of this, and maybe think about different forms of assignments and grading,” Giansiracusa says.

After all, while AI aggregates and organizes ideas, the quality of its responses depends on the users’ prompts. Instead of recoiling from it, use it as a conversation-starter.

“What parents and teachers can do is to start the conversation with kids: ‘What are we trying to learn here? Is it even something that ChatGPT could answer? Why did your assignment not convince you that you need to do this thinking on your own when a tool can do it for you?’” says Houman Harouni , a lecturer on education at the Harvard Graduate School of Education.

Harouni urges parents to read an essay written by ChatGPT alongside their student. Was it good? What could be done better? Did it feel like a short cut?

“What they’re going to remember is that you had that conversation with them; that someone thought, at some point in their lives, that taking a shortcut is not the best way ... especially if you do it with the tool right in front of you, because you have something real to talk about,” he says.

Harouni hopes teachers think about its implications, too. Consider math: So much grunt work has been eliminated by calculators and computers. Yet kids are still tested as in days of old, when perhaps they could expand their learning to be assessed in ways that are more personal and human-centric, leaving the rote stuff to AI.

“We could take this moment of confusion and loss of certainty seriously, at least in some small pockets, and start thinking about what a different kind of school would look like. Five years from now, we might have the beginnings of some very interesting exploration. Five years from now, you and I might be talking about schools wherein teaching and learning is happening in a very self-directed way, in a way that’s more based on … igniting the kid’s interest and seeing where they go and supporting them to go deeper and to go wider,” Harouni says.

Teachers have the chance to offer assignments with more intentionality.

“Really think about the purpose of the assignments. Don’t just think of the outcome and the deliverable: ‘I need a student to produce a document.’ Why are we getting students to write? Why are we doing all these things in the first place? If teachers are more mindful, and maybe parents can also be more mindful, I think it pushes us away from this dangerous trap of thinking about in terms of ‘cheating,’ which, to me, is a really slippery path,” Giansiracusa says.

AI can boost confidence and reduce procrastination. Sometimes, a robot can do something better than a human, such as writing a dreaded resume and cover letter. And that’s OK; it’s useful, even.

“Often, students avoid applying to internships because they’re just overwhelmed at the thought of writing a cover letter, or they’re afraid their resume isn’t good enough. I think that tools like this can help them feel more confident. They may be more likely to do it sooner and have more organized and better applications,” says Kristin Casasanto, director of post-graduate planning at Olin College of Engineering.

Casasanto says that AI is also useful for de-stressing during interview prep.

“Students can use generative AI to plug in a job description and say, ‘Come up with a list of interview questions based on the job description,’ which will give them an idea of what may be asked, and they can even then say, ‘Here’s my resume. Give me answers to these questions based on my skills and experience.’ They’re going to really build their confidence around that,” Casasanto says.

Plus, when students use AI for basics, it frees up more time to meet with career counselors about substantive issues.

“It will help us as far as scalability. … Career services staff can then utilize our personal time in much more meaningful ways with students,” Casasanto says.

We need to remember: These kids grew up during a pandemic. We can’t expect kids to resist technology when they’ve been forced to learn in new ways since COVID hit.

“Now we’re seeing pandemic-era high school students come into college. They’ve been channeled through Google Classroom their whole career,” says Katherine Jewell, a history professor at Fitchburg State University.

“They need to have technology management and information literacy built into the curriculum,” Jewell says.

Jewell recently graded a paper on the history of college sports. It was obvious which papers were written by AI: They didn’t address the question. In her syllabus, Jewell defines plagiarism as “any attempt by a student to represent the work of another, including computers, as their own.”

This means that AI qualifies, but she also has an open mind, given students’ circumstances.

“My students want to do the right thing, for the most part. They don’t want to get away with stuff. I understand why they turned to these tools; I really do. I try to reassure them that I’m here to help them learn systems. I’m focusing much more on the learning process. I incentivize them to improve, and I acknowledge: ‘You don’t know how to do this the first time out of the gate,’” Jewell says. “I try to incentivize them so that they’re improving their confidence in their abilities, so they don’t feel the need to turn to these tools.”

Understand the forces that make kids resort to AI in the first place . Clubs, sports, homework: Kids are busy and under pressure. Why not do what’s easy?

“Kids are so overscheduled in their day-to-day lives. I think there’s so much enormous pressure on these kids, whether it’s self-inflicted, parent-inflicted, or school-culture inflicted. It’s on them to maximize their schedule. They’ve learned that AI can be a way to take an assignment that would take five hours and cut it down to one,” says a teacher at a competitive high school outside Boston who asked to remain anonymous.

Recently, this teacher says, “I got papers back that were just so robotic and so cold. I had to tell [students]: ‘I understand that you tried to use a tool to help you. I’m not going to penalize you, but what I am going to penalize you for is that you didn’t actually answer the prompt.”

Afterward, more students felt safe to come forward to say they’d used AI. This teacher hopes that age restrictions become implemented for these programs, similar to apps such as Snapchat. Educationally and developmentally, they say, high-schoolers are still finding their voice — a voice that could be easily thwarted by a robot.

“Part of high school writing is to figure out who you are, and what is your voice as a writer. And I think, developmentally, that takes all of high school to figure out,” they say.

And AI can’t replicate voice and personality — for now, at least.

Kara Baskin can be reached at [email protected] . Follow her @kcbaskin .

Generative AI takes robots a step closer to general purpose

Most coverage of humanoid robotics has understandably focused on hardware design. Given the frequency with which their developers toss around the phrase “general purpose humanoids,” more attention ought to be paid to the first bit. After decades of single-purpose systems, the jump to more generalized systems will be a big one. We’re just not there yet.

The push to produce a robotic intelligence that can fully leverage the wide breadth of movements opened up by bipedal humanoid design has been a key topic for researchers. The use of generative AI in robotics has been a white-hot subject recently, as well. New research out of MIT points to how the latter might profoundly affect the former.

One of the biggest challenges on the road to general-purpose systems is training. We have a solid grasp on best practices for training humans how to do different jobs. The approaches to robotics, while promising, are fragmented. There are a lot of promising methods, including reinforcement and imitation learning, but future solutions will likely involve combinations of these methods, augmented by generative AI models.

One of the prime use cases suggested by the MIT team is the ability to collate relevant information from these small, task-specific datasets. The method has been dubbed policy composition (PoCo). Tasks include useful robot actions like pounding in a nail and flipping things with a spatula.

“[Researchers] train a separate diffusion model to learn a strategy, or policy, for completing one task using one specific dataset,” the school notes. “Then they combine the policies learned by the diffusion models into a general policy that enables a robot to perform multiple tasks in various settings.”

Per MIT, the incorporation of diffusion models improved task performance by 20%. That includes the ability to execute tasks that require multiple tools, as well as learning/adapting to unfamiliar tasks. The system is able to combine pertinent information from different datasets into a chain of actions required to execute a task.

“One of the benefits of this approach is that we can combine policies to get the best of both worlds,” says the paper’s lead author, Lirui Wang. “For instance, a policy trained on real-world data might be able to achieve more dexterity, while a policy trained on simulation might be able to achieve more generalization.”

The goal of this specific work is the creation of intelligence systems that allow robots to swap different tools to perform different tasks. The proliferation of multi-purpose systems would take the industry a step closer to general-purpose dream.

More TechCrunch

Get the industry’s biggest tech news, techcrunch daily news.

Every weekday and Sunday, you can get the best of TechCrunch’s coverage.

Startups Weekly

Startups are the core of TechCrunch, so get our best coverage delivered weekly.

TechCrunch Fintech

The latest Fintech news and analysis, delivered every Tuesday.

TechCrunch Mobility

TechCrunch Mobility is your destination for transportation news and insight.

Ilya Sutskever isn’t done working on AI safety

Welcome back to TechCrunch’s Week in Review — TechCrunch’s newsletter recapping the week’s biggest news. Want it in your inbox every Saturday? Sign up here. This week, Ilya Sutskever launched…

X still has a Verified bot problem — this time they came for TechCrunch writers

Really, X should have learned its lesson by now.

OmniAI transforms business data for AI

OmniAI is a set of tools that transform unstructured enterprise data into a something that data analytics apps and AI can understand.

Women in AI: Charlette N’Guessan is tackling data scarcity on the African continent

Charlette N’Guessan is the Data Solutions and Ecosystem Lead at Amini, a deep tech startup leveraging space technology and artificial intelligence to tackle environmental data scarcity in Africa and the…

Featured Article

‘What’s in it for us?’ journalists ask as publications sign content deals with AI firms

Journalists understand the basic structure of the deals, but they still have questions. 

This is your brain on Pink Floyd

The human brain has long been a subject of fascination for art and science, which are now both mixed into “Brainstorms: A Great Gig in the Sky,” a new live interactive experience to the tune of Pink Floyd. Interactivity is optional, but memorable. Exhibition visitors can opt in (and pay…

Deal Dive: Sir Jack A Lot returns with a startup for retail traders

When former YouTube product manager Kevin Xu, known as “Sir Jack A Lot” on Reddit, turned $35,000 into $8 million trading stocks between 2020 and 2022, many people thought his…

What does ‘open source AI’ mean, anyway?

The Open Source Initiative is trying to address the debate stirring around the notion of “open-source AI.”

The fight over Fisker’s assets is already heating up

Fisker is just a few days into its Chapter 11 bankruptcy, and the fight over its assets is already charged, with one lawyer claiming the startup has been liquidating assets…

Hacker claims to have 30 million customer records from Australian ticket seller giant TEG

A hacker is advertising customer data allegedly stolen from the Australia-based live events and ticketing company TEG on a well-known hacking forum. On Thursday, a hacker put up for sale…

Tesla makes Musk best-paid CEO of all time and Fisker bites the dust

Welcome to Startups Weekly — Haje‘s weekly recap of everything you can’t miss from the world of startups. Sign up here to get it in your inbox every Friday. Elon…

Dot’s AI really, really wants to get to know you

Dot is a new AI companion and chatbot that thrives on getting to know your innermost thoughts and feelings.

E-fuels startup Aether Fuels is raising $34.3 million, per filing

The e-fuels startup is working on producing fuel for aviation and maritime shipping using carbon dioxide and other waste carbon streams.

Fisker faced financial distress as early as last August

Fisker was facing “potential financial distress” as early as last August, according to a new filing in its Chapter 11 bankruptcy proceeding, which the EV startup initiated earlier this week.…

Cruise clears key hurdle to getting robotaxis back on roads in California

Cruise, the self-driving subsidiary of General Motors, has agreed to pay a $112,500 fine for failing to provide full information about an accident involving one of its robotaxis last year.…

Pitch Deck Teardown: Feel Therapeutics’ $3.5M seed deck

Feel Therapeutics has a pretty original deck, with some twists we rarely see; the company did a great job telling the overall story.

OpenAI buys Rockset to bolster its enterprise AI

The Rockset buy fits into OpenAI’s broader recent strategy of investing heavily in its enterprise sales and tech orgs.

US government sanctions Kaspersky executives

The U.S. government announced sanctions against 12 executives and senior leaders of the Russia-based cybersecurity giant Kaspersky. In a press release, the Department of the Treasury’s Office of Foreign Assets…

Style DNA gets a generative AI chatbot that suggests outfit ideas based on your color type

Style DNA, an AI-powered fashion stylist app, creates a personalized style profile from a single selfie. The app is particularly useful for people interested in seasonal color analysis, a process…

Khosla-backed Marble, built by former Headway founders, offers affordable group therapy for teens

Rates of depression, anxiety and suicidal thoughts are surging among U.S. teens. A recent report from the Center of Disease Control found that nearly one in three girls have seriously…

A new startup from Figure’s founder is licensing NASA tech in a bid to curb school shootings

Cover says what sets it apart is the underlying technology it employs, which has been exclusively licensed from NASA’s Jet Propulsion Laboratory.

Spotify launches a new Basic streaming plan in the US

Spotify is introducing a new “Basic” streaming plan in the United States, the company announced on Friday. The new plan costs $10.99 per month and includes all of the benefits…

Meta is tagging real photos as ‘Made with AI,’ say photographers

Photographers say the social media giant is applying a ‘Made with AI’ label to photos they took, causing confusion for users.

Squarespace sells restaurant reservation system Tock to American Express for $400M

Website building platform Squarespace is selling Tock, its restaurant reservation service, to American Express in a deal worth $400 million — the exact figure that Squarespace paid for the service…

Change Healthcare confirms ransomware hackers stole medical records on a ‘substantial proportion’ of Americans

The February ransomware attack on UHG-owned Change Healthcare stands as one of the largest-ever known digital thefts of U.S. medical records.

Google pauses its experiment to expand real-money games on the Play Store

Google said today that it globally paused its experiment that aimed to allow new kinds of real-money games on the Play Store, citing the challenges that come with the lack…

Kevin Hartz’s A* raises its second oversubscribed fund in three years

Venture firms raised $9.3 billion in Q1 according to PitchBook data, which means this year likely won’t match or surpass 2023’s $81.8 billion total. While emerging managers are feeling the…

Google is making your movie and TV reviews visible under a new profile page

Google is making reviews of all your movies, TV shows, books, albums and games visible under one profile page starting June 24, according to an email sent to users last…

Zepto, a 10-minute delivery app, raises $665M at $3.6B valuation

Zepto, an Indian quick commerce startup, has more than doubled its valuation to $3.6 billion in a new funding round of $665 million.

Language learning app Speak nets $20M, doubles valuation

Speak, the AI-powered language learning app, has raised new money from investors at double its previous valuation.

Advertisement

Supported by

States Take Up A.I. Regulation Amid Federal Standstill

California legislators have made the biggest push to pass new laws to rein in the technology. Colorado passed one protecting consumers.

• Share full article

By Cecilia Kang

Reporting on A.I. policy

Lawmakers in California last month advanced about 30 new measures on artificial intelligence aimed at protecting consumers and jobs, one of the biggest efforts yet to regulate the new technology.

The bills seek the toughest restrictions in the nation on A.I., which some technologists warn could kill entire categories of jobs, throw elections into chaos with disinformation, and pose national security risks. The California proposals, many of which have gained broad support, include rules to prevent A.I. tools from discriminating in housing and health care services. They also aim to protect intellectual property and jobs.

California’s legislature, which is expected to vote on the proposed laws by Aug. 31, has already helped shape U.S. tech consumer protections. The state passed a privacy law in 2020 that curbed the collection of user data, and in 2022 it passed a child safety law that created safeguards for those under 18.

“As California has seen with privacy, the federal government isn’t going to act, so we feel that it is critical that we step up in California and protect our own citizens,” said Rebecca Bauer-Kahan, a Democratic assembly member who chairs the State Assembly’s Privacy and Consumer Protection Committee.

As federal lawmakers drag out regulating A.I ., state legislators have stepped into the vacuum with a flurry of bills poised to become de facto regulations for all Americans. Tech laws like those in California frequently set precedent for the nation, in large part because lawmakers across the country know it can be challenging for companies to comply with a patchwork across state lines.

State lawmakers across the country have proposed nearly 400 new laws on A.I. in recent months, according to the lobbying group TechNet. California leads the states with a total of 50 bills proposed, although that number has narrowed as the legislative session proceeds.

Tell us how your law firm is using A.I.

We’d like to hear from lawyers working with generative A.I., including contract lawyers who have been brought on for assignments related to A.I. We won’t publish your name or any part of your submission without contacting you first.

We are having trouble retrieving the article content.

Please enable JavaScript in your browser settings.

Thank you for your patience while we verify access. If you are in Reader mode please exit and  log into  your Times account, or  subscribe  for all of The Times.

Thank you for your patience while we verify access.

Already a subscriber?  Log in .

Want all of The Times?  Subscribe .