Docking Maneuver

Docking maneuvers encompass a broad range of applications, from autonomous satellite rendezvous and robotic surgery to molecular binding prediction in drug discovery. Current research emphasizes developing robust and efficient control strategies, often incorporating machine learning techniques like deep reinforcement learning, convolutional neural networks, and transformer architectures, alongside geometric models and advanced filtering methods for improved accuracy and safety. These advancements are crucial for enabling complex autonomous operations in diverse fields, improving the precision of minimally invasive procedures, and accelerating drug development through more accurate molecular docking predictions.