DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions
We study the problem of learning physical object representations for robot manipulation. Understanding object physics is critical for successful object manipulation, but also challenging because physical object properties can rarely be inferred from the object’s static appearance. In this paper,...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Robotics: Science and Systems Foundation
2021
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| Online Access: | https://hdl.handle.net/1721.1/138341 |