RoboEdit: Turning Human Manipulation Videos into Scalable Robot Experience
Overview
This paper presents RoboEdit, a system that transforms human manipulation videos into physically plausible robot videos with aligned 3D hand states. The method includes a pipeline for cross-embodiment adaptation and a large-scale dataset of 174K video pairs. Experiments show state-of-the-art editing quality and support for real-world robot control policies.
From arXiv Robotics — research abstracts
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · video pairs: 174000 other · Basis not reported
“we introduce RoboEdit-ADC, an automatic pipeline that reconstructs and retargets 3D interactions from RGB videos across embodiments. This pipeline generates RoboEdit-14M, a large-scale dataset of 174K aligned video pairs (14M frames) spanning seven robot embodiments, diverse scenes, and interaction types. The core editing engine, RoboEdit-Trans, employs cross-embodiment adaptation modules to preserve temporal cohere”
Exact source · revision 1Source owner not reported
Reported quantity · frames: 14000000 other · Basis not reported
“we introduce RoboEdit-ADC, an automatic pipeline that reconstructs and retargets 3D interactions from RGB videos across embodiments. This pipeline generates RoboEdit-14M, a large-scale dataset of 174K aligned video pairs (14M frames) spanning seven robot embodiments, diverse scenes, and interaction types. The core editing engine, RoboEdit-Trans, employs cross-embodiment adaptation modules to preserve temporal cohere”
Exact source · revision 1Source owner not reported
Reported quantity · Robot count: 7 robots · Basis not reported
“we introduce RoboEdit-ADC, an automatic pipeline that reconstructs and retargets 3D interactions from RGB videos across embodiments. This pipeline generates RoboEdit-14M, a large-scale dataset of 174K aligned video pairs (14M frames) spanning seven robot embodiments, diverse scenes, and interaction types. The core editing engine, RoboEdit-Trans, employs cross-embodiment adaptation modules to preserve temporal cohere”
Exact source · revision 1Source owner not reported
Evidence dependency changes (2)
- 2026-10-30T22:16:11.077Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:15:52.350Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalRoboEdit: Turning Human Manipulation Videos into Scalable Robot Experience
This paper presents RoboEdit, a system that transforms human manipulation videos into physically plausible robot videos with aligned 3D hand states. The method includes a pipeline for cross-embodiment adaptation and a large-scale dataset of 174K video pairs. Experiments show state-of-the-art editing quality and support for real-world robot control policies.
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