Avleen KaurSr. Executive Training
The "Robots" reading passage is crucial for IELTS preparation, as it exposes you to complex vocabulary, sentence patterns, and information synthesis. It explores robotics' integration into daily life, challenges in artificial intelligence, and collaboration between professionals. Engaging with this passage enhances comprehension, reading skills, and analytical thinking for IELTS success.
Robots IELTS Reading Passage
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 micromechanics, 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 (Al) 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.
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Robots Questions & Answers
Questions 1-8
Complete the sentences below.
Write NO MORE THAN TWO WORDS from the text for each answer.
1. In the modern age, robots have subtly decreased the amount of __________.
Answer: HUMAN DRUDGERY
Answer location: Paragraph A
Explanation: Robots have significantly reduced human labor by replacing manual tasks like driving subways, working in factories, and banking.
2. Robotic assembly arms that operate in unison are now widespread in __________.
Answer: FACTORIES
Answer location: Paragraph A
Explanation: Robotic assembly arms, often used in workplaces, automate production lines and reduce human labor, improving productivity and accuracy while reducing the need for repetitive or physically demanding jobs.
3. Robotic surgery now includes __________ accuracy.
Answer: SUBMILLIMETER
Answer location: Paragraph B
Explanation: Robotic surgery offers submillimeter accuracy in surgical procedures, surpassing human surgeons' abilities. This technology reduces invasiveness and recovery times, enabling more sophisticated surgeries and improving safety and effectiveness.
4. For robots to become more efficient in saving labor, less _________ is necessary.
Answer: HUMAN SUPERVISION
Answer location: Paragraph C
Explanation: Robots require less human supervision for efficient operation and labor savings, but challenges still need to be solved in allowing them to perform tasks autonomously without constant human supervision.
5. It had been anticipated that the performance of _____________ might eventually reach that of the brain.
Answer: MICROPROCESSORS
Answer location: Paragraph C
Explanation: In the 1960s and 1970s, researchers hoped microprocessors could function like the human brain, but technological advancements have lowered the bar, revealing difficulties in reproducing human-like intelligence.
6. __________ enables people to concentrate fast on essential aspects in a scenario that is changing rapidly.
Answer: HUMAN PERCEPTION
Answer location: Paragraph D
Explanation: The paragraph highlights how human vision allows people to focus on essential details in rapidly changing scenes, outperforming robotic systems in adapting to changing circumstances.
7. __________ are essential for communicating emotions amongst people.
Answer: FACIAL EXPRESSIONS
Answer location: Paragraph F
Explanation: Researchers emphasize the significance of facial expressions in conveying emotional messages, as they help humans understand feelings like joy, fear, rage, or anxiety.
8. Researchers are studying many semi-smart robotics to develop _____________.
Answer: COLLECTIVE INTELLIGENCE
Answer location: Paragraph G
Explanation: Researchers explore the potential of semi-smart robot swarms to achieve higher collective intelligence, drawing inspiration from natural systems like ant colonies and beehives.
Robots IELTS Answers with Explanation
Questions 9-13
The Reading Passage has sections A-G
Which section contains the following information?
Write the correct A-G letter in boxes 9-13 on your answer sheet.
9. Showcases how professionals from several professions work together to give robots realistic intelligence.
Answer: Paragraph E
Explanation: Paragraph E discusses the collaboration between information theorists, neuroscientists, and computer specialists to create realistic, lifelike robots using neural networks that mimic human brain design.
10. With long-distance control technology, operators can avoid dangerous situations.
Answer: Paragraph B
Explanation: Paragraph B highlights the use of long-distance control technology to ensure safety, citing NASA's Dante robotic explorer, which was remotely operated to explore a deadly volcano.
11. The development of robots intended to help in retirement communities.
Answer: Paragraph F
Explanation: The paragraph F discusses research on robots for senior communities, particularly in Japan, aiming to make them more useful and approachable. It highlights the development of a "face robot" for comfortable conversation.
12. Robots that can identify machine panel misalignments.
Answer: Paragraph D
Explanation: Robots, as described in Paragraph D, are designed to accurately detect machine panel misalignments, demonstrating their advanced capabilities in controlled environments for precise tasks.
13. the shift in the field of robotics to distributed computer systems.
Answer: Paragraph G
Explanation: Experts are exploring the potential of swarms of semi-smart robots to produce collective intelligence, a departure from traditional centralized systems. This approach aims to use a large number of intelligent robots to collaborate, similar to natural systems.
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