Papers › Mission Planning on Autonomous Avoidance for Spacecraft Confronting Orbital Debris
Mission Planning on Autonomous Avoidance for Spacecraft Confronting Orbital Debris
Chen Xingwen, Wang Tong, Qiu Jianbin, Feng Jianbo
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
This paper investigates the mission planning problem for spacecraft confronting orbital debris to achieve autonomous avoidance. Firstly, combined with the avoidance requirements, a closed-loop framework of autonomous avoidance for orbital debris is proposed. Under the established model of mission planning, a two-stage planning is proposed to coordinate the conflict between routine tasks and debris avoidance. During the planning for expansion, the temporal constraints for duration actions are handled by the ordering choices. Meanwhile, dynamic resource variables satisfying instantaneous numerical change and continuous linear change are reasoned in the execution of actions. Linear Programming (LP) can solve the bounds of variables in each state, which is used to check the consistency of the interactive constraints on duration and resource. Then, the temporal relaxed planning graph (TRPG) heuristics is rationally developed to guide the plan towards the goal. Finally, the simulation demonstrates that the proposed mission planning strategy can effectively achieve the autonomous debris avoidance of the spacecraft.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections