OrbitTAMP: Grounding Language Models for Task and Motion Planning in Spacecraft Rendezvous
The paper introduces a hierarchical framework to ground Large Language Model (LLM) reasoning in spacecraft task-and-motion planning (TAMP). It structures planning into semantic grounding, decision completion, and physical verification stages. This system uses reusable behaviors and structured mission representations to convert vague language intent into physically realizable spacecraft motion plans.