Proximity Operation

Proximity operations, encompassing the controlled maneuvering of vehicles in close proximity, aim to enable autonomous tasks like docking, assembly, and inspection in challenging environments such as space and underwater. Current research emphasizes robust control algorithms, often incorporating machine learning models like neural networks and Bayesian methods, to handle uncertainties and disturbances, particularly aerodynamic effects and varying gravity fields. These advancements are crucial for enhancing the autonomy and safety of robotic missions in diverse applications, from space exploration and debris removal to underwater robotics and aerial swarm operations.