Neural Operator Learning for Collision-Aware Trajectory Planning of Spacecraft Swarms
This work introduces a permutation-equivariant neural operator for trajectory planning of spacecraft swarms, and maps distributions of spacecraft initial states, target states, and obstacle initial states to trajectories which avoid collision and conserve fuel.
Sidhdharth D. Sikka, Suyi Gao, Ze-Hui Lu et al.
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