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Desert snakes mimic light waves to slither through sand

A Western Shovel-nosed snake moves through a force-sensitive set of rubber pegs. The pegs altered the direction of the snakes' travel, but didn't vary the waveform they used to move. (Credit: Allison Carter/Georgia Tech)

The motion of snakes slithering around obstacles mimics aspects of light or subatomic particles when they encounter a diffraction grating, researchers report.

The effect of this “mechanical diffraction” let researchers observe how the skeletal and muscular dynamics of the snakes’ propagating body waves altered their trajectories. The researchers studied live snakes as they slithered through an obstacle made up of six force-sensitive rigid pegs that buckled the animals’ bodies, changing their paths in predictable ways.

The results, which appear in the Proceedings of the National Academy of Sciences, indicate that Western Shovel-nosed snakes (Chionactis occipitalis) don’t deliberately change direction when they encounter obstacles while speeding across the sand.

New shapes

Understanding the movement of these limbless animals could help engineers improve the control of autonomous search and rescue robots designed to operate on sand, grass, and other complex environments.

“The idea behind passive dynamics is that there are waveform shape changes being made by the animal that are driven entirely by the passive properties of their bodies,” says Perrin Schiebel, a recent PhD graduate of the School of Physics at Georgia Institute of Technology.

“Instead of sending a signal to activate a muscle, the interaction of the snakes’ bodies with the external environment is what causes the shape change. The forces of the obstacles are pushing the snake bodies into a new shape.”

The colorful shovel-nosed snake normally uses a sinusoidal S-shaped wave to move across the deserts of the Southwest United States. Running into rigid pegs in a laboratory environment doesn’t lead it to actively change that waveform, which Schiebel and colleagues studied using high-speed video cameras with eight different animals.

Limbless locomotors

Researchers used 253 snake trips to build up a diffraction pattern. Remarkably, the pattern also revealed that the scattering directions were “quantized” such that a pattern mimicking wave interference could represent the probability of finding a snake behind the array. A computational model captured the pattern, demonstrating how obstacle encounters via passive body buckling altered the snakes’ direction.

“One problem with robots moving in the real world is that we don’t yet have principles by which we can understand how best to control these robots on granular surfaces like sand, leaf litter, rubble, or grass,” says Daniel Goldman, professor in the School of Physics.

“The point of this study was to try to understand how limbless locomotors, which have long bodies that can bend in interesting ways using potentially complicated neuromechanical control schemes, manage to move through complicated terrain.”

“The robot tends to have aspects that mimic features of the subatomic world—the quantum world,” Goldman says. “When it collides with barriers, a robot propagates through those barriers using waves of body bending.

“Its trajectory deviates as it exits the barriers, and many repeated trials reveal a ‘lumpy’ scattering pattern, analogous to experiments. We realized that we could use this surprising and beautiful phenomenon, classical physics but with self-propulsion a key feature, as a scattering experiment to interrogate the control scheme used by the snakes.”

‘Blindfolded’ snakes

Experimentally, the researchers used a “snake arena” covered with shag carpet to mimic sand. Undergraduate students Alex Hubbard and Lillian Chen released the snakes one at a time into the arena and encouraged them to slither through the grating.

The eyes of desert snakes are naturally covered with scales to protect them. The researchers used children’s face paint to temporarily “blindfold” the animals so the researches wouldn’t distract them. The paint didn’t harm the animals.

“When we put the snakes down in the arena, they started moving using the same waveform they use on desert sand,” Schiebel says. “They would then encounter the dowel grating, pass through it, and continue on the other side still using that waveform.”

Instead of continuing to travel through the arena in a straight line, the snakes would exit at a different angle, though they didn’t grab the posts or use them to assist their movement.

Schiebel worked with Zeb Rocklin, an assistant professor of physics, to model the directional changes. The model showed how simple interactions between the snakes’ wave pattern and the grating produce patterns of favored scattering directions.

“We think the snake is essentially operating in a model that control engineers would consider ‘open loop,'” Goldman says. “It is setting a particular motor program on its body, which generates the characteristic wave pattern, and when it collides with the obstacle, its body mechanics allow it to deform and move the posts without degrading its speed.”

Help for first responders

Goldman believes the work could help developers of snake-like robots improve their control schemes.

“We think that our discoveries of the role of passive dynamics in the snake can facilitate new snake robot designs that will enable them to move through complex environments more fluidly,” he says. “The goal would be to build search and rescue robots that can get into these complex environments and help first responders.”

And as a bonus, Goldman says, “We find that the richness of interactions between self-propelled systems like snakes and robots with their environment is fascinating from the standpoint of ‘active matter’ physics.”

The National Science Foundation, Army Research Office, Defense Advanced Projects Agency, and a National Defense Science and Engineering Graduate Fellowship funded the work.

Source: Georgia Tech

  • There’s a good reason fish never quit wiggling
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    ‘ANYmal’ robot stalks dark sewers to test its navigation

    ANYmal moves through the Zurich sewers. (Credit: Daniel Winkler/ETH Zurich)

    Researchers are working to make sure a seeing, hearing, door-opening robot called “ANYmal” can also function in extreme conditions—a mission that takes them to the labyrinth of drains and tunnels below Zurich.

    Their aim is to determine whether ANYmal—a robot that ANYbotics, an ETH Zurich spin-off company, jointly developed with Robotic Systems Lab—could one day be useful in sewer systems. It might, for instance, help city of Zurich employees who regularly have to walk or crawl through the some 62 miles of accessible shafts and drains underneath the city and whose job it is to check the walls and floors for damage.

    ANYmal robot
    ANYmal on its first tour of inspection in Zurich’s sewer system (Credit: Daniel Winkler/ETH Zurich)

    This work not only poses a health risk, but is also potentially lethal, given that the drains can fill up with water very quickly without warning. Another advantage of robots in such an environment is that they could operate in narrow sewers that are not accessible with current technology.

    Going down

    The researchers place the robot upright at the bottom of the shaft. It is about 19.5 inches tall and has four articulated legs as well as something resembling a head that consists of a camera and various sensors.

    Peter Fankhauser, cofounder of ANYbotics, radios his colleagues on the surface, who are responsible for coordinating the test and sending commands to the robot. Fankhauser then twiddles with a joystick and the robot plods forward. As this is the first test in unknown terrain, he takes partial control of the robot even though it is capable of moving autonomously.

    “It’s a precautionary measure,” says Fankhauser, “Just because something works in the lab doesn’t always mean it will in the real world.”

    ANYmal
    (Credit: Daniel Winkler/ETH Zurich)

    After all, the conditions underground are not what the robot is used to: the chamber is wet and slippery, with lower temperatures and higher humidity than in the lab. What’s more, it’s very, very dark.

    “It’s hard to distinguish much down here,” says Fankhauser, almost with a hint of resignation in his voice, as the robot moves at a slow pace through the roughly 10-foot by 16-foot tunnel.

    The robot emits a uniform electromechanical sound—a kind of rhythmic whirring—that blends with the sound of rushing water emanating from the main sewer nearby. Given that the robot is on its maiden test run 13 feet below ground ­level, the researchers have taken the precaution of avoiding large volumes of water.

    In the dark

    The goal of the three-year research project, called THING (sub-Terranean Haptic InvestiGator), is to design robots that can move about on their own and are better able to identify their surroundings.

    Robots generally use 3D cameras and laser sensors for orientation. But such devices can malfunction in adverse conditions—such as when the ground surface is wet or the air full of dust. That’s why the researchers consider enhanced haptic perception—orientation by touch—to be a possible solution.

    Researchers at other institutions are also working with and testing ANYmal. In addition to the tests in the sewerage system, next year researchers will deploy the robot in a Polish copper mine. That will determine whether it can function in an entirely different microclimate, one characterized by hot, dusty air and gravel surfaces.

    (Credit: Daniel Winkler/ETH Zurich)

    One of the key questions on this first day of testing is whether the robot can find its way around at all in the darkness of the sewerage system. Initially, two helpers with big LED lamps illuminate the surroundings so that the researchers can clearly see what’s going on.

    Then, Fankhauser asks the helpers to turn off the lamps and radios his colleagues on the surface to tell the robot to use its own lights. The robot’s sense of touch isn’t the only thing that helps it find its way in the dark, as Marco Hutter, who has been conducting research into legged robots for many years at ETH Zurich, explains: “The robot uses laser sensors and cameras to scan its surroundings. By identifying irregularities in the surface of the concrete, it can determine where it is at any given moment.”

    All that the researchers can see in the darkness now are the small round LEDs in the robot’s “head.” The atmosphere is other-worldly: the darkness, the sound of rushing water, the electromechanical whirring, the robot’s LED eyes. Then someone breaks the eerie silence with a droll comment: “Its eyes are a bit like a Rottweiler.”

    ANYmal’s future missions

    Researchers completed the first ANYmal prototype was completed in 2015. They carry out on-site tests two or three times a month. For instance, Fankhauser and some members of his team recently headed to an offshore platform in the middle of the North Sea. The hope is that robots could one day perform inspections on such platforms. On its pilot run at least, ANYmal autonomously completed several inspection routes with flying colors.

    After almost ten years of research, there’s a lot ANYmal can do. It can not only walk autonomously, but also boasts the sensory capabilities of sight, hearing, and touch. These enable it, for instance, to read the air pressure display on a machine, identify sounds, and recognize objects—for example to determine whether or not a fire extinguisher is in the right place. The robot can even perform certain manual tasks on its own.

    Equipped with an additional gripping arm, it can open doors, dispose of refuse, or press a lift button. It also delivers data that is more precise than our own eyes, ears, and noses can perceive. It can identify the ambient temperature and detect the presence of gases in the air. Its latest trick is recognizing the composition of the ground beneath it. “Some of its powers are superhuman,” says Fankhauser.

    Despite the lack of light in the sewer, the robot seems to be finding its way quite well, plodding through the shallow channel at a leisurely pace. When the high-tech machine reaches a 20-centimeter-high ledge (just under 8 inches) in a dry side arm of the sewer, Fankhauser brings it to a halt with a flick of the joystick. Initially, he is reluctant to give the ­robot the command to climb over the ledge. Although it has easily mastered this maneuver in laboratory conditions, down here it is a risky undertaking.

    “It’s an expensive machine,” says Fankhauser. But he gives it a try anyway. ANYmal doesn’t manage it at its first attempt. It stops at the ledge like a horse balking at a jump. “Default, start again,” radios Fankhauser. Now the robot elegantly places one leg after another over the ledge.

    Watching from the surface

    Sitting on a bench under a white canopy on the surface, two assistants have their eyes firmly fixed on a laptop. A generator is buzzing and a router is blinking—and many a cyclist passes by along the main road looking on in bemusement at the hubbub around the open manhole at the side of the road.

    Looking over the researchers’ shoulders, you can see an almost constant stream of data flickering across the screen. And thanks to state-of-the-art 3D and laser technologies, live images the robot constantly transmits from underground are visible on a separate monitor.

    When Fankhauser radios from below that he wants the robot to touch the wall of the sewer with one of its legs, the two assistants have their work cut out for them. The researchers haven’t programmed software they are using hasn’t been programmed for this. They respond quickly, however, taking an algorithm originally programmed to teach ANYmal to shake hands. But to make sure the robot doesn’t hit the wall with force, the researchers have to adapt the parameters.

    In this case, the problem is the angle at which the robot is to raise its leg. One of the assistants types in 100 and then gradually ratchets up the number. At 180 the perfect level is reached and the robot’s maneuver is successful.

    “The robot was in nonstop operation and collected a lot of data,” says Fankhauser as he undoes his high rubber boots and removes his protective clothing.

    Hutter is satisfied, too: “All the teams will be taking home a huge volume of data to incorporate in their research.”

    They are now one step closer to their goal of delivering a robot that can function properly in challenging conditions underground. But their work is far from finished. The robot recorded 500,000 measurements per second over the course of the day. “That’s enough data to keep us busy for six months,” says Fankhauser with a laugh.

    Hutter received support from ETH soon after embarking on this research in the form of an ESOP scholarship and a Pioneer fellowship.

    Source: ETH Zurich