Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
Pushing is a fundamental robotic skill. Existing work has shown how to exploit models of pushing to achieve a variety of tasks, including grasping under uncertainty, in-hand manipulation and clearing clutter. Such models, however, are approximate, which limits their applicability. Learning-based met...
Main Authors: | Bauza Villalonga, Maria, Alet, Ferran, Yen-Chen, Lin, Lozano-Pérez, Tomás, Kaelbling, Leslie P, Isola, Phillip John, Rodriguez, Alberto |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
IEEE
2021
|
Online Access: | https://hdl.handle.net/1721.1/129775 |
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