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 (Author), Alet, Ferran (Author), Yen-Chen, Lin (Author), Lozano-Pérez, Tomás (Author), Kaelbling, Leslie P (Author), Isola, Phillip John (Author), Rodriguez, Alberto (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
IEEE,
2021-02-16T20:11:22Z.
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Subjects: | |
Online Access: | Get fulltext |
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