September 5, 2025RoboticsOpen Access

Dynamic Space Debris Removal via Deep Feature Extraction and Trajectory Prediction in Robotic Systems

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This framework ensures reliable detection of space debris, achieving stable tracking performance and robust motion prediction.
Utilizing YOLOv8, the system localizes debris effectively under changing illumination and occlusion conditions.
A particle swarm optimization strategy generates smooth and time-efficient interception trajectories for robotic arms.
The Transformer-based model enhances motion prediction and adapts to complex scenarios in space debris removal.

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Vision-based architecture effectively predicts trajectories and removes space debris using robotic manipulators.

Zhang et al. (2025) studied this question.

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