Compositional Generative Modeling for Scalable Long-Horizon Robot Planning
Keywords: Diffusion Models, Compositional Diffusion, Goal-directed Planning
TL;DR: Representing composition of atomic skills via a compositional generative framework allows effective and scalable robot trajectory stitching for long-horizon planning directly at inference-time.
Research Statement: pdf
Submission Number: 105
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