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Simone D'Amico

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#artificial intelligence Preprint Oct 2026

OrbitTAMP: Grounding Language Models for Task and Motion Planning in Spacecraft Rendezvous

A hierarchical framework for spacecraft task-and-motion planning (TAMP) that grounds LLM reasoning in a graph of reusable behaviors and domain-specific planning modules is presented, establishing a scalable and auditable foundation for language-driven agentic planning of spacecraft RPO.

Yuji Takubo, Daniele Gammelli, Marco Pavone et al. · 1 citation

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