Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning
Skilled robotic manipulation benefits from complex synergies between non-prehensile (e.g. pushing) and prehensile (e.g. grasping) actions: pushing can help rearrange cluttered objects to make space for arms and fingers; likewise, grasping can help displace objects to make pushing movements more prec...
Main Authors: | Zeng, Andy, Song, Shuran, Welker, Stefan, Lee, Johnny, Rodriguez Garcia, Alberto, Funkhouser, Thomas |
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Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/130010 |
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