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Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Benjamin Burchfiel, Cheng Chi, Chuer Pan, Eric Cousineau, Russ Tedrake, Shuran Song, Siyuan Feng, Zhenjia Xu

UMI lets robots learn complex manipulation from portable human gripper demonstrations with zero-shot transfer to new settings and hardware.

arxiv:2402.10329 v3 · 2024-02-15 · cs.RO

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Claims

C1strongest claim

policies learned via UMI zero-shot generalize to novel environments and objects when trained on diverse human demonstrations. The resulting learned policies are hardware-agnostic and deployable across multiple robot platforms.

C2weakest assumption

The carefully designed gripper interface, inference-time latency matching, and relative-trajectory action representation sufficiently minimize the domain gap between human demonstrations and robot execution to enable reliable zero-shot transfer.

C3one line summary

UMI enables zero-shot deployment of robot manipulation policies trained solely on portable human demonstrations captured with custom handheld grippers, supporting dynamic bimanual tasks across novel environments and objects.

References

69 extracted · 69 resolved · 2 Pith anchors

[1] Human-to-robot imitation in the wild 2022
[2] Affordances from human videos as a versatile representation for robotics 2023
[3] Rt-1: Robotics transformer for real-world control at scale 2023
[4] Humanoid robot teleoperation with vibrotactile based balancing feedback 2014
[5] Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M. Dollar. The ycb object and model set: Towards common benchmarks for manipulation research. In 2015 Internation 2015 · doi:10.1109/icar.2015.7251504

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39 papers in Pith

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First computed 2026-05-17T23:39:21.608976Z
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438fb16bceafd5de5ac0f04abeead7b7bec08bcd8b56e6c00e3b59b8019991d8

Aliases

arxiv: 2402.10329 · arxiv_version: 2402.10329v3 · doi: 10.48550/arxiv.2402.10329 · pith_short_12: IOH3C26OV7K5 · pith_short_16: IOH3C26OV7K54WWA · pith_short_8: IOH3C26O
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Canonical record JSON
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