Adaptive gait acquisition with hierarchical learning automata

摘要

One of the primary advantages of the walking robot is their capacity of moving over different terrains, which requires control algorithms that optimize the gait according to the terrain. This paper presents a hierarchical learning architecture composed of different learning automatons to adapt the quadruped robot locomotion to a rough terrain. The feasibility of the proposed method is confirmed by the results of computer simulations.