Course Overview

This course covers the principles and components of quadruped robots, motion control models and algorithms, reinforcement learning, the structure and development process of edge computing boards, as well as model selection, training, evaluation, optimization, and deployment related to deep learning algorithms. Students will complete experiments on gait and motion control for robots based on deep reinforcement learning.