Unifying Sidewinding and Rolling: A Wave-Based Framework for Self-Righting in Elongated Limbless and Multi-Legged Robots
Hangjun Liu, Jiarui Geng, Jinxuan Ding, Gengzhi He, Xiyuan Wang, Melisa Arukgoda, Joe DiGennaro, George Ubertalli, Grigoriy Blekherman, Baxi Chong

TL;DR
This paper investigates self-righting mechanisms for elongated, multi-legged robots, comparing biological models and developing a framework that links morphology and strategy to improve robustness in complex environments.
Contribution
It introduces a wave-based, parameterized framework for self-righting, revealing how leg length influences strategy effectiveness and identifying morphological limits for reliable self-righting.
Findings
Longer legs require different control strategies to avoid torque over-concentration.
A critical limb-length threshold limits reliable self-righting.
Morphology-strategy coupling principles guide design of robust centipede-like robots.
Abstract
Centipede-like robots offer unique locomotion advantages due to their small cross-sectional area for accessing confined spaces, and their redundant legs enhance robustness in cluttered environments such as search-and-rescue and pipe inspection. However, elongated robots are particularly vulnerable to tipping over when climbing large obstacles, making reliable self-righting essential for field deployment. Self-righting strategies for elongate, multi-legged systems remain poorly understood. In this study, we conduct a comparative biomechanics and robophysical investigation to address three key questions: (1) What self-righting strategies are effective for elongate, many-legged systems? (2) How should these strategies depend on morphological parameters such as leg length and leg number? (3) Is there a morphological limit beyond which reliable self-righting becomes infeasible? We compare…
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Taxonomy
TopicsRobotic Locomotion and Control · Modular Robots and Swarm Intelligence · Biomimetic flight and propulsion mechanisms
