arXiv (OAI Expanded)
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Neural Operator Learning for Collision-Aware Trajectory Planning of Spacecraft Swarms
Satellite constellations require orbital transfers that are both fuel efficient and collision avoidant. Yet, the computational cost of optimization methods traditionally used to plan their trajectories scales poorly with both the number of satellites as well as the number of obstacles to avoid, due
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