Animals in their natural environments effortlessly switch up their movements to hunt, escape from predators and travel with their packs every day.
By chasing cockroaches through an obstacle course and studying their movements, the Johns Hopkins engineers that brought you the cockroach robot and the snake robot discovered that animals’ movement transitions corresponded to overcoming potential energy barriers and that they can jitter around to traverse obstacles in complex terrain.
A report of the findings were published today in Proceedings of the National Academy of Sciences.
“Our findings will help make robots more robust and widen their range of movement in the real world,” says Chen Li, physicist, assistant professor of mechanical engineering at The Johns Hopkins University and the paper’s senior author.
With mobile robots on the verge of integrating into society, it’s important that they can move through the world around them with ease and efficiency, says Li. While some mobile robots like self-driving cars and robot vacuums are already excellent at navigating flat surfaces and transitioning between moves (e.g. forward drive, U-turns and stopping to avoid obstacles) around obstacles, many critical uses such as search and rescue in rubble, inspection and monitoring in buildings, and space exploration through rocks require robots to physically interact with their terrain to traverse, rather than simply avoid, obstructions.
“Search and rescue robots can’t operate solely by avoiding obstacles, like a vacuum robot would try to avoid a couch,” says Ratan Othayoth, a graduate student in Li’s lab and the study’s first author.
“These robots have to go through rubble, and to do so, they have to use different types of movement in three dimensions.”
Yet, robots still struggle to do so because scientists don’t have a clear understanding of how a robot’s physical interaction with complex terrain affects its ability to transition between different movements. Understanding this in animals can allow researchers to build more dynamic robots, the researchers say.
To investigate this, Othayoth created an obstacle course of “beams,” or tall, bendable plates mounted on springs, meant to replicate flexible blades of grass, and tracked how cockroaches transitioned between two types of 3-D movements to make it past the beams. The two movements were: a “pitch,” or when the cockroaches pitched up its body to push against the beams until they bent enough to give way, which is strenuous; and a “roll,” when the cockroaches rolled into the gap between the beams to slide through, which is easier.
The team also built a robot to emulate the cockroaches’ behavior and further changed how much it jittered. The more the robot jittered, the more energy it had to overcome the energy barrier to transition from pushing across the beams to rolling into the gap to traverse.
These results explain why legged robots that jitter a lot (such as RHex, a six-legged robot that has been around for decades and can commonly be seen in popular media) are surprisingly good at traversing large obstacles, even without using any sensors or careful motion planning.
“This strategy of ‘just shake yourself’ is the most naïve way to make transition, though,” says Li. “The animals can—and robots should—add more careful, active adjustments to do it better. That is what we are looking into as the next step.”
This new approach of energy landscapes, Li and team say, clarifies how animals use physical interaction to transition between different types of movements, and will guide robots to better do so to traverse complex 3-D terrain like earthquake rubble.
“If successful, the framework being developed by Professor Li’s team will be a leap ahead in our ability to realize fast and robust robots capable of deftly negotiating cluttered terrain,” says Samuel Stanton, program manager, Army Research Office, an element of the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory.
The Army Research Office, a Burrough Wellcome Fund Career Award at the Scientific Interface, an Arnold & Mabel Beckman Foundation Beckman Young Investigator award and The Johns Hopkins University Whiting School of Engineering start-up funds provided funding for this research.
George Thoms, also of The Johns Hopkins University, was another author on this paper.