Meta reinforcement learning for robust quadruped locomotion under joint failures
Joint failures can disrupt gait coordination, velocity tracking, and body stability in quadruped robots by reducing the available control authority. This study investigates faults in which joints remain locked at fixed angles and presents Adjudicate Reconfiguration and Evolving Regularization Meta Reinforcement Learnin...
Likai Wu, Chee‐Onn Chow, Wei Ru Wong et al.
· PLoS ONE · 0 citations