Posted in | News | Biomimetic Robotics

Animal Mechanics to Control Mutually Opposing Forces Inspire Improved Control Systems for Small Robots

A quirk of nature has long baffled biologists: Why do animals push in directions that don’t point toward their goal, such as the side-to-side sashaying of a running lizard or cockroach? An engineer building a robot would likely avoid these movements because they seem wasteful. So why do animals behave this way?

Researchers at Northwestern University’s McCormick School of Engineering and Applied Science, working as part of a multi-institutional research team, have solved this puzzle. In an article published in the Nov. 4-8 online edition of the journal Proceedings of the National Academy of Sciences (PNAS), the team reported that these extra forces are not wasteful after all: they allow animals to increase both stability and maneuverability, a feat that is often described as impossible in engineering textbooks.

“One of the things they teach you in engineering is that you can’t have both stability and maneuverability at the same time,” said Noah Cowan, a Johns Hopkins associate professor of mechanical engineering who supervised the research project. “The Wright Brothers figured this out when they built their early airplanes. They made their planes a little unstable to get the maneuverability they needed.”

When an animal or vehicle is stable, it resists changes in direction. On the other hand, if it is maneuverable, it has the ability to quickly change course. Generally, engineers assume that a system can rely on one property or the other -- but not both. Yet some animals seem to produce an exception to the rule. “Animals are a lot more clever with their mechanics than we often realize,” Cowan said. “By using just a little extra energy to control the opposing forces they create during those small shifts in direction, animals seem to increase both stability and maneuverability when they swim, run or fly.”

Cowan said this discovery could help engineers simplify and enhance the designs and control systems for small robots that fly, swim or move on mechanical legs.

The researchers combined observations of a small tropical fish called the “glass knifefish” with re-creations of their movements on a robot developed in the lab of Malcolm MacIver, associate professor of mechanical engineering and biomedical engineering at McCormick and an expert in robotics and animal biomechanics. MacIver’s robot has been previously used to explore a unique fin movement that is the focus of this study: a pattern of mutually opposing undulations that occurs when knifefish remain stationery in water. The movement was first characterized in MacIver’s lab in 2011.

Glass knifefish, each about four to seven inches long, prefer to hide in tubes and other shelters, a behavior that helps them avoid being eaten by predators in the Amazon basin, the natural habitat of these shy fish. In a lab, Johns Hopkins researchers filmed the live fish at 100 frames per second to study how they used their fins to hover in these tubes, even when there was a steady flow of water in the fish tank.

“What is immediately obvious in the slow-motion videos is that the fish constantly move their fins to produce opposing forces. One region of their fin pushes water forward, while the other region pushes the water backward,” said Eric Fortune, a professor of biological sciences at the New Jersey Institute of Technology and a co-author of the paper. “This arrangement is rather counter-intuitive, like two propellers fighting against each other.”

McCormick and Johns Hopkins researchers developed mathematical models that suggested that this odd arrangement enables the animal to improve both stability and maneuverability. The team then tested the accuracy of their models on MacIver’s biomimetic robot, which mimicked the fish’s fin movements.

“We are far from duplicating the agility of animals with our most advanced robots,” said MacIver, a co-author of the paper. “One exciting implication of this work is that we might be held back in making more agile machines by our assumption that it’s wasteful or useless to have forces in directions other than the one we are trying to move in. It turns out to be key to improved agility and stability.”

The mutually opposing forces that help the knifefish become both stable and maneuverable can also be found in the hovering behavior of hummingbirds and bees, in addition to the glass knifefish examined in this study, said senior author Cowan, who directs the Locomotion in Mechanical and Biological Systems Lab within Johns Hopkins’ Whiting School of Engineering.

“As an engineer, I think about animals as incredible, living robots,” said study’s lead author, Shahin Sefati, a doctoral student advised by Cowan. “It has taken several years of exciting multidisciplinary research during my Ph.D. studies to understand these ‘robots’ better.”

Other co-authors on the paper are Izaak D. Neveln and James B. Snyder, both Northwestern doctoral students in MacIver’s Neuroscience and Robotics Laboratory; Eatai Roth, a former Johns Hopkins doctoral student now at the University of Washington; and Terence Mitchell; a former Johns Hopkins postdoctoral fellow now at the Campbell University School of Osteopathic Medicine.

This research was supported by the National Science Foundation (grants 0543985, 0845749 and 0941674) and by the Office of Naval Research (grant N000140910531).

-Sarah Ostman, editor/writer at the McCormick School of Engineering and Applied Science, contributed to the story.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.