Develop an intelligent gait training system powered by reinforcement learning for adaptive robotic movement and rehabilitation research. The Reinforcement Learning Gait Trainer project combines advanced AI algorithms with robotics to enable machines to learn optimal walking patterns through trial-and-error interaction with the environment.

This project is designed for students, researchers, and innovators who want hands-on experience with AI-driven motion learning, robotic control systems, and next-generation automation technologies.