Trajectory Optimisation via Reinforcement Learning
Matthieu Paris
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Trajectory Optimisation via Reinforcement Learning

Safe Autonomous Rendezvous, Proximity Operation, and Docking for under-actuated CubeSat via Reinforcement Learning

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From the emergence of commercial applications such as on-demand imagery and global internet service to the necessity of satellite servicing and active space debris removal, the level of complexity in mission design has skyrocketed. All these different applications have directed the evolution of the technology toward the need for autonomous spacecraft that can operate independently of human control. As such, artificial intelligence has rapidly emerged as being a promising field allowing greater robotic autonomy and innovative decision making. While new autonomous techniques have enabled faster ...