Ground Locomotion
Ground locomotion research focuses on enabling robots to move effectively and efficiently across diverse terrains, drawing inspiration from biological systems. Current efforts concentrate on developing robust control algorithms, often employing model predictive control or reinforcement learning, and exploring novel robot morphologies and actuation mechanisms, including wave-based locomotion and compliant designs. These advancements are crucial for creating robots capable of navigating challenging environments for applications such as search and rescue, planetary exploration, and industrial inspection, pushing the boundaries of both robotics and biomechanics.
Papers
Steering Elongate Multi-legged Robots By Modulating Body Undulation Waves
Esteban Flores, Baxi Chong, Daniel Soto, Dan Tatulescu, Daniel I. Goldman
Addition of a peristaltic wave improves multi-legged locomotion performance on complex terrains
Massimiliano Iaschi, Baxi Chong, Tianyu Wang, Jianfeng Lin, Juntao He, Daniel Soto, Zhaochen Xu, Daniel I Goldman