Autonomous Docking

Autonomous docking research focuses on enabling robots and vehicles to automatically connect with a target, a crucial capability for diverse applications ranging from planetary exploration to surgical robotics. Current efforts concentrate on developing robust control algorithms, such as model predictive control and reinforcement learning, often integrated with computer vision for precise positioning and obstacle avoidance. These advancements are improving the reliability and efficiency of docking maneuvers in challenging environments, with significant implications for fields like space exploration, maritime operations, and minimally invasive surgery.