arXiv Computer Vision September 25, 2026 By Hanbit Oh, Yukiyasu Domae, Takuma Yagi

EgoSpeedUp: Transferring Human Manipulation Tempo to Robot Policies

Read the original on arXiv Computer Vision →

EgoSpeedUp is a framework that transfers human manipulation tempo to robot policies by aligning and retiming robot demonstrations using phase-wise tempo estimates derived from human demonstrations. The method improves task success rates by an average of 25 percentage points and reduces successful execution time by 36.5% on two real-world manipulation tasks. It demonstrates that human manipulation tempo can serve as an effective temporal reference for faster and more reliable robot policies.

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