Gait Generation

Gait generation focuses on creating algorithms that enable robots, particularly legged robots, to walk effectively and adapt to various terrains and conditions. Current research emphasizes using reinforcement learning, often coupled with evolutionary algorithms or imitation learning, to generate robust and adaptable gaits, sometimes incorporating model predictive control for real-time adjustments. These advancements are crucial for improving robot mobility in unstructured environments and have implications for robotics, automation, and assistive technologies.