AI Intelligent Control and Adaptive Learning Technologies

This course aims to guide learners in understanding how AI is applied to robot control and adaptive learning. Starting from a comparison between traditional control and AI control, it further introduces reinforcement learning, MDP, policy, reward, value function, deep reinforcement learning algorithms, adaptive PID, data-driven tuning, and simulation training environments, enabling learners to design intelligent control strategies with learning and adjustment capabilities.