Cooperative Locomotion
Cooperative locomotion research focuses on enabling multiple legged robots to move together safely and efficiently, achieving coordinated tasks beyond the capabilities of individual robots. Current efforts concentrate on developing robust control algorithms, often employing model predictive control (MPC) or control barrier functions (CBFs), within distributed or centralized architectures based on simplified robot models like single rigid body dynamics. These advancements are crucial for improving the reliability and scalability of multi-robot systems in challenging environments, with applications ranging from search and rescue to construction and transportation.
Papers
Distributed Data-Driven Predictive Control for Multi-Agent Collaborative Legged Locomotion
Randall T Fawcett, Leila Amanzadeh, Jeeseop Kim, Aaron D Ames, Kaveh Akbari Hamed
Layered Control for Cooperative Locomotion of Two Quadrupedal Robots: Centralized and Distributed Approaches
Jeeseop Kim, Randall T Fawcett, Vinay R Kamidi, Aaron D Ames, Kaveh Akbari Hamed