This research explores the use of reinforcement learning to enhance autonomous spacecraft rendezvous operations. By training AI models to make real-time navigation and control decisions, the system optimizes orbital paths and reduces maneuvering errors. The study demonstrates improved precision, fuel efficiency, and adaptability compared to traditional guidance methods. These advancements support safer and more reliable spacecraft docking, helping future space missions achieve higher autonomy and operational effectiveness during complex orbital maneuvers.
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Computers in Human Behavior (SCI)
2023
https://doi.org/10.1016/j.chb.2023.108110