Space Debris Removal

Space debris removal (ADR) focuses on mitigating the growing threat of orbital debris to operational satellites and future space missions. Current research heavily emphasizes autonomous navigation and control systems for robotic debris capture, employing machine learning techniques like deep reinforcement learning and convolutional neural networks for tasks such as trajectory optimization, target identification, and precise pose estimation. These advancements are crucial for developing efficient and safe ADR missions, improving space situational awareness, and ensuring the long-term sustainability of space activities.