Hierarchical Control Architecture for Quadruped Robot Gait Based on Hopf-CPG Parameterized Action Space with Reinforcement Learning
To address the problems of high-dimensional action space in end-to-end reinforcement learning and insufficient adaptive capability of traditional CPG parameters in quadruped robot locomotion control, this paper proposes a hierarchical control architecture combining a Hopf-CPG parameterized action space with reinforceme...