Part 1
Insects and Inspired Artificial Robots
Insects and Inspired Artificial Robots
A The creation of artificial devices with life-like characteristics has been pursued for over 2,000 years, beginning as did so many things in our modern world, in Ancient Greece. For example, among the inventions of Hero of Alexandria were a windmill-operated pipe organ and a mechanical theatrical play.
B With the raise of cybernetic approaches in the late 1940s and early 1950s, a wide variety of electromechanical machines designed to mimic biological processes and systems were constructed. Perhaps the best-known and most directly relevant to biorobotics is W. Gray Walters’ robotic "tortoises" Elsie and Elmer. Walters was a physiologist who made important early contributions to electroencephalography and clinical neurophysiology. His tortoises were small mobile robots covered by a hard shell. The robots were driven by steerable motorized wheels and possessed a headlight, a light sensor, and a touch sensor that responded when the shell was hit. Their behavior was controlled by electronic circuit analogues of neural circuits. The behavioral repertoire of the tortoises included exploration, both positive and negative phototropism, and obstacle avoidance. The activation of these different behaviors in interaction with the robots’ environment could produce a variety of behavioral sequences. Although originally designed to explore Walters’ theories of brain function, the tortoises became objects of popular fascination in much the same way that ancient automata did.
C The seeds of the modern renaissance of biorobotics were sown from the mid 1980s to mid 1990s. A key event in this resurgence was Rodney Brooks’ work on behavior-based robots. Although not as directly based on biology as later work would be, Brooks argues that nontrivial and flexible behavior in a robot could be generated by the interaction between simple control machinery and its environment, demonstrating his point with robots accomplishing such tasks as insect-like walking. Another important milestone was Raibert’s work on hopping and legged robots, which emphasized the central role of energetics in the dynamic balance and locomotion of animals. Based on studies of serpentine motion, Hirose developed a number of snake-like locomotors and manipulators. In the early 1990s, Beer, Quinn, Chiel & Ritzmann developed a series of hexapod robots based directly on cockroach and stick insect body morphology and neural control. Early biorobotic work on the sensory side includes Franceschini’s robotic compound eye based on studies of insect eyes and motion-sensitive neurons in the fly, Webb’s robotic model of cricket phonotaxis and Grasso et al’s robotic model of lobster chemical orientation strategies. An example of robots whose control was based on theories of human brain function is given by the work of Edelman et al.
D There has been an explosion of work in biorobotics in recent years, with robotic vocal tracts, jaws, retinas, expressive faces, hands, arms, legs, etc. deployed on robotic worms, snakes, ants, flies, crickets, cockroaches, walking stick insects, dinosaurs, bats, lobsters, tuna, pickerel, turkeys, apes and humanoids. Thus, no brief survey could possibly do justice to the range of work being undertaken.
E A recent example of biologically-inspired robotics is Spenko et al’s work on a hexapedal robotic climber called RiSE. In order to grip a vertical surface, this robot combines both bonding mechanisms inspired by the structure of gecko feet and interlocking mechanisms inspired by the structure of insect spines and claws. In addition, its design is based on a set of principles that have been found to be common to many climbing animals: a sprawled posture keeps the body close to the surface so as to reduce the pitch-back moment; front limbs pull inward and rear limbs push outward so as to counteract the pitch-back moment; a long body reduces the pull-in force required of the front limbs; lateral forces act inward toward the central axis of the body; complaint legs, ankles and toes so as to distribute contact forces. Each of the six legs of RiSE have two degrees of freedom and the robot also possesses a static tail that presses against the surface to reduce the pull-in forces required of the front legs. The robot uses a wave gait in which only one leg at a time is lifted from the surface. In addition to an open-loop gait generator, RiSE utilizes a variety of feedback controllers, including traction force control, normal force control and gait regulation. In addition, the robot has a pawing behavior that allows a foot that fails to grasp on initial contact to reestablish a grip on the climbing surface. Spenko et al have demonstrated that RiSE is able to traverse a variety of horizontal and vertical surfaces, including climbing trees and brick or cinder block walls.
F A powerful example of biorobotic modeling is provided by the aerodynamics of insect flight. Although quasi-steady-state aerodynamical analyses of the sort used to understand aircraft have been successfully applied to larger animals, they have not been very successful for explaining the generation of lift in small flying insects due to the tiny wingspans, relatively slow flight speeds and extremely fast wing movements involved. However, a recent biorobotic model by Dickinson and colleagues has begun to shed considerable light on the unsteady aerodynamics of insect flight. Because of the delicate size and high speed of insect wings, direct measurement of the forces involved is extremely difficult. For this reason, a robotic model with a 60 cm wingspan was used to explore the non-steady-state airflow during hovering by the fruit fly Drosophila melanogaster. In order to reproduce the Reynolds number relevant to small insects flying in air, their model was submerged in mineral oil and scaled both in space and time. Force sensors at the base of one wing allowed direct measurement of the forces produced and illumination of air bubbles in the tank allowed direct observation of the fluid flow around the robotic wings. Dickinson and colleagues found that three major mechanisms contributed to lift generation in the model. First, vortices formed at the leading edge of the wing produce lift during much of the power stroke. Second, additional lift is produced by circulation of air around the wings due to rapid rotation at the beginning and end of each stroke. Third, further forces are produced at the start of each upstroke and downstroke due to collisions of the wings with the swirling wake produced by the previous stroke, a mechanism termed wake capture. Due to the sensitivity of these latter two mechanisms to the timing of wing rotation, the model suggests that the control of small details of wing motion can be used in steering flight.
Questions 1--6
Reading Passage 1 has six paragraphs, A--F.
Choose the most suitable headings for paragraphs A--F from the list of headings below.
NB There are more headings than paragraphs, so you will not use them all.
* Drag a heading and drop it into the blank space.
Questions 7--11
Use the information in the passage to match the people (listed A--E) with opinions or deeds (listed 7--11) below.
NB Some people may match more than one discovery.
List of People
A. W. Gray Walters
B. Rodney Brooks
C. Michael Dickinson
D. Spenko et al
E. Edelman et al
7. made contributions to neurophysiology.
7
8. endowed robots with agility from the innovation of machinery environmental fit.
8
9. generated mechanical intelligence inspired by the way human brain works.
9
10. modified mechanical models based on the structure of insects.
10
11. found the mechanism of insect flight.
11
Questions 12--13
Choose words from the passage to answer the questions 12--13, writing NO MORE THAN THREE WORDS for each blank.
12. What plays the most critical role in Raibert’s hopping and legged robots? 12
13. What allowed direct measurement of the lifting forces of the biorobotic model? 13
Part 2
The Secret Language of Plants
The Secret Language of Plants
Growing Evidence
For a long time, scientists regarded plants as silent and passive organisms, limited to merely surviving in their environments. However, a growing body of evidence now challenges this perception. Researchers have discovered that many plants can "communicate" with one another through the release of airborne chemical signals.
When attacked by herbivorous insects, trees such as willows, poplars, and maples emit volatile organic compounds (VOCs) that alert nearby plants to danger. These neighboring plants, upon receiving the signal, begin producing chemicals that make their leaves less appetizing or even toxic to insects. In effect, they seem to "warn" one another of incoming threats.
This idea, once dismissed as science fiction, was first proposed in 1983 when two independent studies demonstrated that uninjured trees growing near damaged ones were capable of activating their own defense mechanisms. Although early critics labeled the findings as flawed or exaggerated, further research has since revived the concept. Modern experiments, conducted both in laboratories and in natural ecosystems, have repeatedly confirmed that plant signaling is a genuine biological process. Ecologist Richard Karban from the University of California, Davis, estimates that roughly forty out of forty-eight studies have found positive evidence for interplant communication.
Secret Lives
Richard Karban’s journey into this mysterious world began not with plants, but with insects. As a young ecologist, he studied how trees cope with infestations of cicadas and caterpillars. During that time, most biologists assumed that plants survived mainly through endurance, tolerating harsh conditions without active responses.
However, in the early 1980s, zoologist David Rhoades discovered that plants could defend themselves more dynamically. By altering the chemical composition of their leaves, plants made themselves less nutritious to herbivores.
What surprised Rhoades even more was that uninjured willows located near infested ones also produced these defensive compounds. The conclusion was startling: plants were somehow sensing signals from their neighbors. The excitement grew when similar results were found in poplars and sugar maples by scientists Ian Baldwin and Jack Schultz. Popular media soon proclaimed the discovery of "talking trees," though such headlines made many researchers skeptical, fearing that the field was becoming pseudoscientific.
Nevertheless, further evidence accumulated. In the sagebrush-covered slopes of northern California, Karban simulated insect attacks by clipping plant leaves. He observed that nearby wild tobacco plants, unrelated to sagebrush, began producing protective enzymes such as polyphenol oxidase. These plants later showed significantly less leaf damage from grasshoppers and caterpillars. The experiment provided strong proof that interplant signaling could occur naturally, not just under laboratory conditions.
Airborne Messages
By the 1990s, the idea of chemical communication among plants gained new support from scientists like Ted Farmer at the University of Lausanne. Working initially with sagebrush and tomato plants, Farmer demonstrated that when damaged sagebrush leaves were sealed in jars with undamaged tomato plants, the tomatoes began releasing proteinase inhibitors--substances that disrupt insect digestion. This indicated that plants could indeed send and receive airborne messages.
Subsequent research revealed that almost every green plant produces a unique cocktail of volatile compounds. The scent of freshly cut grass, for example, is actually a complex mixture of alcohols, aldehydes, and ketones--alarm signals that warn neighboring plants of damage. Lima beans respond to chemicals emitted by other lima beans being eaten, corn seedlings prepare themselves against caterpillars, and even chili peppers react to the emissions of cucumber plants. Insects, too, are part of this invisible communication network: maize attacked by beet armyworms releases volatiles that attract parasitic wasps, which lay their eggs in the caterpillars’ bodies. Thus, plants not only "talk" to one another but also recruit animal allies in their defense.
Farmer later discovered that plants can transmit internal messages using electrical pulses, similar to the way animals send nerve signals. Though plants lack brains or neurons, this voltage-based signaling suggests an unexpected level of biological sophistication. As Farmer remarked, "The more we study plants, the more we realize how intelligent their systems truly are."
Eavesdropping Plants
Despite mounting evidence, not all scientists agree that plants are truly communicating. Some argue that what appears to be communication might simply be a form of eavesdropping. A plant might release chemicals into the air as part of its own defense, and nearby plants, detecting these volatiles, may respond independently. According to ecologist Martin Heil, most of these chemical signals travel no more than a meter, suggesting that plants may primarily be signaling to themselves rather than intentionally warning others. In this view, "plant communication" might be better understood as self-signaling with unintended recipients.
Still, the evolutionary implications are significant. If plants can share biochemical information, they may coordinate defenses across entire populations. This could have profound ecological and agricultural applications. For instance, certain modern corn hybrids have lost their ancestral ability to produce volatiles that attract beneficial wasps. Reintroducing these traits could make crops more resistant to pests, reducing the need for chemical pesticides. Other possibilities include planting "sentinel" species--plants with highly sensitive signaling systems--among crops, allowing them to act as early warning systems.
A New Perspective
Whether we call it communication, signaling, or eavesdropping, the phenomenon challenges long-held distinctions between plants and animals. Plants respond, adapt, and interact with one another in ways that suggest a hidden intelligence within ecosystems. As scientists continue decoding these silent messages, they are beginning to view the natural world as a living web of signals and responses--a world far more dynamic and connected than we ever imagined.
Questions 14--18
Complete the sentences below. Choose NO MORE THAN TWO WORDS from the passage for each answer.
14. When insects attack, plants release 14 that can alert their neighbours.
15. According to Karban, sagebrush and wild tobacco respond to these signals by producing 15 to defend themselves.
16. Early studies on talking trees were dismissed because they were thought to be 16 or unrealistic.
17. The smell of 17 is actually a distress signal for plants rather than just a pleasant scent.
18. Some scientists believe that plants communicating with others may just be 18 on their own signals.
Questions 19--22
Choose the correct letter, A, B, C or D.
19. What was David Rhoades’ main finding in 1983?
20. What was the major reason early scientists were skeptical about plant communication?
21. According to the text, what did Ted Farmer discover about plant communication?
22. What practical use could the study of plant communication have?
Questions 23--26
Look at the following statements (Questions 23--26) and the list of researchers below. Match each statement with the correct researcher, A--E.
Note from the source: This researcher legend (A--E) was not fully visible in the supplied screenshot and has been inferred from the passage -- please double-check against your original key.
List of Researchers
A. Richard Karban
B. David Rhoades
C. Ian Baldwin & Jack Schultz
D. Ted Farmer
E. Martin Heil
23. He conducted experiments in the wild that supported the idea of chemical communication among plants.
23
24. He discovered that plants use an electrical system similar to the animal nervous system.
24
25. He argued that plants may simply be responding to their own chemical emissions.
25
26. He first suggested that plants could communicate through airborne signals.
26
Part 3
Amateur Naturalists
Amateur Naturalists
From the results of an annual Alaskan betting contest to sightings of migratory birds, ecologists are using a wealth of unusual data to predict the impact of climate change.
A Tim Sparks slides a small leather-bound notebook out of an envelope. The book’s yellowing pages contain bee-keeping notes made between 1941 and 1969 by the late Walter Coates of Kilworth, Leicestershire. He adds it to his growing pile of local journals, birdwatchers’ diaries and gardening diaries. "We’re uncovering about one major new record each month," he says, "I still get surprised." Around two centuries before Coates, Robert Marsham, a landowner from Norfolk in the east of England, began recording the life cycles of plants and animals on his estate -- when the first wood anemones flowered, the dates on which the oaks burst into leaf and the rooks began nesting. Successive Marshams continued compiling these notes for 211 years.
B Today, such records are being put to uses that their authors could not possibly have expected. These data sets, and others like them, are proving invaluable to ecologists interested in the timing of biological events, or phenology. By combining the records with climate data, researchers can reveal how, for example, changes in temperature affect the arrival of spring, allowing ecologists to make improved predictions about the impact of climate change. A small band of researchers is combing through hundreds of years of records taken by thousands of amateur naturalists. And more systematic projects have also started up, producing an overwhelming response. "The amount of interest is almost frightening," says Sparks, a climate researcher at the Centre for Ecology and Hydrology in Monks Wood, Cambridgeshire.
C Sparks first became aware of the army of "closet phenologists", as he describes them, when a retiring colleague gave him the Marsham records. He now spends much of his time following leads from one historical data set to another. As news of his quest spreads, people tip him off to other historical records, and more amateur phenologists come out of their closets. The British devotion to recording and collecting makes his job easier -- one man from Kent sent him 30 years’ worth of kitchen calendars, on which he had noted the date that his neighbour’s magnolia tree flowered.
D Other researchers have unearthed data from equally odd sources. Rafe Sagarin, an ecologist at Stanford University in California, recently studied records of a betting contest in which participants attempt to guess the exact time at which a specially erected wooden tripod will fall through the surface of a thawing river. The competition has taken place annually on the Tenana River in Alaska since 1917, and analysis of the results showed that the thaw now arrives five days earlier than it did when the contest began.
E Overall, such records have helped to show that, compared with 20 years ago, a raft of natural events now occur earlier across much of the northern hemisphere, from the opening of leaves to the return of birds from migration and the emergence of butterflies from hibernation. The data can also hint at how nature will change in the future. Together with models of climate change, amateurs’ records could help guide conservation. Terry Root, an ecologist at the University of Michigan in Ann Arbor, has collected birdwatchers’ counts of wildfowl taken between 1955 and 1996 on seasonal ponds in the American Midwest and combined them with climate data and models of future warming. Her analysis shows that the increased droughts that the models predict could halve the breeding populations at the ponds. "The number of waterfowl in North America will most probably drop significantly with global warming," she says.
F But not all professionals are happy to use amateur data. "A lot of scientists won’t touch them, they say they’re too full of problems," says Root. Because different observers can have different ideas of what constitutes, for example, an open snowdrop. "The biggest concern with ad hoc observations is how carefully and systematically they were taken," says Mark Schwartz of the University of Wisconsin, Milwaukee, who studies the interactions between plants and climate. "We need to know pretty precisely what a person’s been observing -- if they just say ‘I noted when the leaves came out’, it might not be that useful." Measuring the onset of autumn can be particularly problematic because deciding when leaves change colour is a more subjective process than noting when they appear.
G Overall, most phenologists are positive about the contribution that amateurs can make. "They get the raw power of science: careful observation of the natural world," says Sagarin. But the professionals also acknowledge the need for careful quality control. Root, for example, tries to gauge the quality of an amateur archive by interviewing its collector. "You always have to worry -- things as trivial as vacations can affect measurement. I disregard a lot of records because they’re not rigorous enough," she says. Others suggest that the right statistics can iron out some of the problems with amateur data. Together with colleagues at Wageningen University in the Netherlands, environmental scientist Arnold van Vliet is developing statistical techniques to account for the uncertainty in amateur phenological data. With the enthusiasm of amateur phenologists evident from past records, professional researchers are now trying to create standardised recording schemes for future efforts. They hope that well-designed studies will generate a volume of observations large enough to drown out the idiosyncrasies of individual recorders. The data are cheap to collect, and can provide breadth in space, time and range of species. "It’s very difficult to collect data on a large geographical scale without enlisting an army of observers," says Root.
H Phenology also helps to drive home messages about climate change. "Because the public understand these records, they accept them," says Sparks. It can also illustrate potentially unpleasant consequences, he adds, such as the finding that more rat infestations are reported to local councils in warmer years. And getting people involved is great for public relations. "People are thrilled to think that the data they’ve been collecting as a hobby can be used for something scientific -- it empowers them," says Root.
Questions 27--33
Reading Passage 3 has eight paragraphs, A--H. Which paragraph contains the following information?
| A | B | C | D | E | F | G | H | |
|---|---|---|---|---|---|---|---|---|
| 27. The definition of phenology | ||||||||
| 28. How Sparks first became aware of amateur records | ||||||||
| 29. How people reacted to their involvement in data collection | ||||||||
| 30. The necessity to encourage amateur data collection | ||||||||
| 31. A description of using amateur records to make predictions | ||||||||
| 32. Records of a competition providing clues to climate change | ||||||||
| 33. A description of a very old record compiled by generations of amateur naturalists |
Questions 34--36
Complete the sentences below with NO MORE THAN TWO WORDS from the passage for each answer.
34. Walter Coates’s records largely contain the information of 34.
35. Robert Marsham is famous for recording the 35 of animals and plants on his land.
36. According to some phenologists, global warming may cause the number of waterfowl in North America to drop significantly due to increased 36.
Questions 37--40
Choose the correct letter, A, B, C or D.
37. Why do a lot of scientists discredit the data collected by amateurs?
38. Mark Schwartz used the example of leaves to illustrate that
39. How do the scientists suggest amateur data should be used?
40. What’s the implication of phenology for ordinary people?