Effective self-righting strategies for elongate multi-legged robots
Erik Teder, Baxi Chong, Juntao He, Tianyu Wang, Massimiliano Iaschi,, Daniel Soto, Daniel I Goldman

TL;DR
This paper investigates self-righting strategies for elongate multi-legged robots by analyzing biological behaviors and developing a robot model that employs traveling waves in body motion, enhancing robustness in complex terrains.
Contribution
It introduces a biological and robophysical approach to identify effective self-righting strategies using traveling waves, with a focus on wave parameters influencing success.
Findings
Traveling wave superposition can explain self-righting behaviors.
Wave parameters like spatial frequency and amplitude are critical.
Behavior diagrams guide effective self-righting strategy design.
Abstract
Centipede-like robots offer an effective and robust solution to navigation over complex terrain with minimal sensing. However, when climbing over obstacles, such multi-legged robots often elevate their center-of-mass into unstable configurations, where even moderate terrain uncertainty can cause tipping over. Robust mechanisms for such elongate multi-legged robots to self-right remain unstudied. Here, we developed a comparative biological and robophysical approach to investigate self-righting strategies. We first released \textit{S. polymorpha} upside down from a 10 cm height and recorded their self-righting behaviors using top and side view high-speed cameras. Using kinematic analysis, we hypothesize that these behaviors can be prescribed by two traveling waves superimposed in the body lateral and vertical planes, respectively. We tested our hypothesis on an elongate robot with static…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotic Locomotion and Control · Modular Robots and Swarm Intelligence · Soil Mechanics and Vehicle Dynamics
