Multilegged matter transport: A framework for locomotion on noisy landscapes
Published in Science, 2023
Locomotion over rugged terrain, whether human or robotic, generally requires extensive feedback to allow for adjustments in stride to compensate for cracks, inclines, or changes in surface composition. This ability typically requires a network of sensors to detect changes in terrain. Chong et al. show that an alternative approach requiring minimal environmental awareness can guarantee a successful arrival using information theory. The authors draw a parallel between having multiple, connected legs on the robot and having signal transmission protocols that minimize error in transmission—in this case, the “signal” being transmitted is the body of the robot. —Marc S. Lavine
Recommended citation: Chong, Baxi, Juntao He, Daniel Soto, Tianyu Wang, Daniel Irvine, Greg Blekherman, and Daniel I. Goldman. (2023). "Multilegged matter transport: A framework for locomotion on noisy landscapes." Science. 380(6644), 509-515.
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