IELTS Reading Practice: Robots (Vocabulary, Translation & Answers)

The “Robots” reading passage is a fascinating and highly academic text often featured in IELTS Reading exams. This topic not only tests your vocabulary related to technology and science but also challenges your logical thinking through difficult question types such as Matching Headings and True/False/Not Given.

This article from the ECE language center provides the full text, a summary, key vocabulary, and a detailed explanation of the answers to help you study effectively.

Reading Passage & Questions

Reading Passage: Robots

Since the dawn of human ingenuity, people have devised ever more cunning tools to cope with work that is dangerous, boring, onerous, or just plain nasty. That compulsion has culminated in robotics – the science of conferring various human capabilities on machines.

A. The modern world is increasingly populated by quasi-intelligent gizmos whose presence we barely notice but whose creeping ubiquity has removed much human drudgery. Our factories hum to the rhythm of robot assembly arms. Our banking is done at automated teller terminals that thank us with rote politeness for the transaction. Our subway trains are controlled by tireless robo-drivers. Our mine shafts are dug by automated moles, and our nuclear accidents – such as those at Three Mile Island and Chernobyl – are cleaned up by robotic muckers fit to withstand radiation. Such is the scope of uses envisioned by Karel Capek, the Czech playwright who coined the term ‘robot’ in 1920 (the word ‘robota’ means ‘forced labor’ in Czech). As progress accelerates, the experimental becomes the exploitable at record pace.

B. Other innovations promise to extend the abilities of human operators. Thanks to the incessant miniaturisation of electronics and micro-mechanics, there are already robot systems that can perform some kinds of brain and bone surgery with submillimeter accuracy – far greater precision than highly skilled physicians can achieve with their hands alone. At the same time, techniques of long-distance control will keep people even farther from hazard. In 1994 a ten-foot-tall NASA robotic explorer called Dante, with video-camera eyes and with spiderlike legs, scrambled over the menacing rim of an Alaskan volcano while technicians 2,000 miles away in California watched the scene by satellite and controlled Dante’s descent.

C. But if robots are to reach the next stage of labour-saving utility, they will have to operate with less human supervision and be able to make at least a few decisions for themselves – goals that pose a formidable challenge. ‘While we know how to tell a robot to handle a specific error,’ says one expert, ‘we can’t yet give a robot enough common sense to reliably interact with a dynamic world.’ Indeed the quest for true artificial intelligence (AI) has produced very mixed results. Despite a spasm of initial optimism in the 1960s and 1970s, when it appeared that transistor circuits and microprocessors might be able to perform in the same way as the human brain by the 21st century, researchers lately have extended their forecasts by decades if not centuries.

D. What they found, in attempting to model thought, is that the human brain’s roughly one hundred billion neurons are much more talented – and human perception far more complicated – than previously imagined. They have built robots that can recognise the misalignment of a machine panel by a fraction of a millimeter in a controlled factory environment. But the human mind can glimpse a rapidly changing scene and immediately disregard the 98 per cent that is irrelevant, instantaneously focusing on the woodchuck at the side of a winding forest road or the single suspicious face in a tumultuous crowd. The most advanced computer systems on Earth can’t approach that kind of ability, and neuroscientists still don’t know quite how we do it.

E. Nonetheless, as information theorists, neuroscientists, and computer experts pool their talents, they are finding ways to get some lifelike intelligence from robots. One method renounces the linear, logical structure of conventional electronic circuits in favour of the messy, ad hoc arrangement of a real brain’s neurons. These ‘neural networks’ do not have to be programmed. They can ‘teach’ themselves by a system of feedback signals that reinforce electrical pathways that produced correct responses and, conversely, wipe out connections that produced errors. Eventually the net wires itself into a system that can pronounce certain words or distinguish certain shapes.

F. In other areas researchers are struggling to fashion a more natural relationship between people and robots in the expectation that some day machines will take on some tasks now done by humans in, say, nursing homes. This is particularly important in Japan, where the percentage of elderly citizens is rapidly increasing. So experiments at the Science University of Tokyo have created a ‘face robot’ – a life-size, soft plastic model of a female head with a video camera imbedded in the left eye – as a prototype. The researchers’ goal is to create robots that people feel comfortable around. They are concentrating on the face because they believe facial expressions are the most important way to transfer emotional messages. We read those messages by interpreting expressions to decide whether a person is happy, frightened, angry, or nervous. Thus the Japanese robot is designed to detect emotions in the person it is ‘looking at’ by sensing changes in the spatial arrangement of the person’s eyes, nose, eyebrows, and mouth. It compares those configurations with a database of standard facial expressions and guesses the emotion. The robot then uses an ensemble of tiny pressure pads to adjust its plastic face into an appropriate emotional response.

G. Other labs are taking a different approach, one that doesn’t try to mimic human intelligence or emotions. Just as computer design has moved away from one central mainframe in favour of myriad individual workstations – and single processors have been replaced by arrays of smaller units that break a big problem into parts that are solved simultaneously – many experts are now investigating whether swarms of semi-smart robots can generate a collective intelligence that is greater than the sum of its parts. That’s what beehives and ant colonies do, and several teams are betting that legions of mini-critters working together like an ant colony could be sent to explore the climate of planets or to inspect pipes in dangerous industrial situations.

Questions

Questions 1-6: Reading Passage 2 has seven paragraphs A-G. From the list of headings below choose the most suitable heading for each paragraph.

List of headings

• i. Some success has resulted from observing how the brain functions.

• ii. Are we expecting too much from one robot?

• iii. Scientists are examining the humanistic possibilities.

• iv. There are judgements that robots cannot make.

• v. Has the power of robots become too great?

• vi. Human skills have been heightened with the help of robotics.

• vii. There are some things we prefer the brain to control.

• viii. Robots have quietly infiltrated our lives.

• ix. Original predictions have been revised.

• x. Another approach meets the same result.

1. Paragraph A

2. Paragraph B

3. Paragraph C

4. Paragraph D

5. Paragraph E

6. Paragraph F

Questions 7-11: Do the following statements agree with the information given in Reading Passage 2?

• YES if the statement agrees with the information

• NO if the statement contradicts the information

• NOT GIVEN if there is no information on this in the passage

7. Karel Capek successfully predicted our current uses for robots.

8. Lives were saved by the NASA robot, Dante.

9. Robots are able to make fine visual judgements.

10. The internal workings of the brain can be replicated by robots.

11. The Japanese have the most advanced robot systems.

Questions 12-14:

Complete the summary below with words taken from paragraph F.

Use NO MORE THAN THREE WORDS for each answer.

Write your answers in boxes 12-14 on your answer sheet.

The prototype of the Japanese ‘face robot’ observes humans through a 12…. which is planted in its head. It then refers to a 13…. of typical ‘looks’ that the human face can have, to decide what emotion the person is feeling. To respond to this expression, the robot alters it’s own expression using a number of 14….

Summary of the Reading Passage

The passage discusses the development of robotics and artificial intelligence (AI):

• Paragraph A: Robots have quietly infiltrated our daily lives (banks, subways, factories, etc.), reducing human drudgery, just as Karel Capek envisioned.

• Paragraph B: Robots extend human capabilities, such as performing ultra-precise surgery or exploring hazardous environments remotely (like NASA’s Dante robot).

• Paragraph C: The next major challenge is creating autonomous robots with “common sense.” Initial optimistic forecasts for AI have been pushed back by decades.

• Paragraph D: A comparison between the human brain and robots. Robots are excellent at detecting minor errors in controlled environments, but the human brain is superior at processing complex, chaotic information (like spotting a face in a crowd).

• Paragraph E: Scientists are experimenting with “neural networks” that simulate brain structure, allowing robots to learn through feedback rather than rigid programming.

• Paragraph F: Research in Japan on “face robots” aims to create more natural human-machine interaction (important for elderly care). This robot can read emotions via a camera and respond with facial expressions.

• Paragraph G: Another approach is “collective intelligence” from swarms of small robots (swarm robotics), inspired by ants and bees, to solve large-scale problems.

Key Vocabulary Summary

Answer Key and Detailed Explanations

1. Paragraph A: viii (Robots have quietly infiltrated our lives)

• Explanation: Paragraph A lists various applications of robots in daily life (factories, banks, subways…) that we “barely notice.” This corresponds to them having “quietly infiltrated” our lives.

2. Paragraph B: vi (Human skills have been heightened with the help of robotics)

• Explanation: Paragraph B states that robots help perform surgery with “greater precision” than doctors and allow for “long-distance control.” This means human skills have been “heightened.”

3. Paragraph C: ix (Original predictions have been revised)

• Explanation: Paragraph C mentions “optimism in the 1960s” but notes that researchers have recently “extended their forecasts by decades.” This means original predictions have been revised.¹⁸

4. Paragraph D: iv (There are judgements that robots cannot make)

• Explanation: Paragraph D compares robots and the human brain. Robots are good at details, but the human brain is better at “disregarding the irrelevant” and focusing on what matters in chaotic environments. Robots have not yet achieved this level of judgement.

5. Paragraph E: i (Some success has resulted from observing how the brain functions)

• Explanation: Paragraph E discusses “neural networks” that simulate brain structure (observing brain functions) and have achieved success in self-learning.

6. Paragraph F: iii (Scientists are examining the humanistic possibilities)

• Explanation: Paragraph F discusses creating robots to care for the elderly, focusing on facial expressions to make humans feel comfortable. This is a humanistic possibility.

7. YES

• Question: Karel Capek successfully predicted our current uses for robots.

• Location (Paragraph A): “Such is the scope of uses envisioned by Karel Capek…”

• Explanation: The text lists current applications and concludes that these are the uses Capek “envisioned” -> Prediction was accurate.

8. NOT GIVEN

• Question: Lives were saved by the NASA robot, Dante.

• Location (Paragraph B): Mentions Dante exploring an Alaskan volcano.

• Explanation: The text describes Dante’s activities but does not mention whether it saved any lives.

9. YES

• Question: Robots are able to make fine visual judgements.

• Location (Paragraph D): “They have built robots that can recognise the misalignment… by a fraction of a millimeter…”

• Explanation: Robots can detect extremely small misalignments -> They have fine visual judgement capabilities.

10. NO

• Question: The internal workings of the brain can be replicated by robots.

• Location (Paragraph D): “The most advanced computer systems on Earth can’t approach that kind of ability…”

• Explanation: The text states that even the most advanced systems cannot match the human brain -> It cannot be fully replicated.

11. NOT GIVEN

• Question: The Japanese have the most advanced robot systems.

• Location (Paragraph F): Mentions Japanese research (Science University of Tokyo).

• Explanation: The text introduces Japanese research but does not compare it to the rest of the world to claim it is the “most advanced.”

12. video camera

• Location (Paragraph F): “…with a video camera imbedded in the left eye…”

• Explanation: The robot observes humans through this device.

13. database

• Location (Paragraph F): “…compares those configurations with a database of standard facial expressions…”

• Explanation: The robot compares inputs with a database to guess the emotion.

14. (tiny) pressure pads

• Location (Paragraph F): “…uses an ensemble of tiny pressure pads to adjust its plastic face…”

• Explanation: The robot uses these pads to change its expression.

The “Robots” reading passage is a valuable IELTS Reading practice resource, helping learners become familiar with technology and AI topics. Mastering specialized vocabulary and understanding the passage structure will help you easily tackle difficult questions.

We hope this detailed explanation from ECE helps you feel more confident in your studies. Keep practicing to improve your skills. Good luck with your upcoming exam!