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cs.RO2026
FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
Xirui Shi, Arya Ebrahimi, Yi Hu +1
Diffusion models are increasingly used for robot learning, but current designs face a clear trade-off. Action-chunking diffusion policies like ManiCM are fast to run, yet they only…
cs.RO2025
FRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action Generation
Xirui Shi, Jun Jin
We consider the problem of using diffusion models to generate fast, smooth, and temporally consistent robot motions. Although diffusion models have demonstrated superior performanc…