Focused Adaptation of Dynamics Models for Deformable Object Manipulation
Author:
Affiliation:
1. University of Michigan,Department of Robotics,United States
2. Robotics Institute, Carnegie Mellon University,United States
Funder
Office of Naval Research
NSF
ARL
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161366.pdf?arnumber=10161366
Reference39 articles.
1. Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
2. Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks
3. Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
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5. On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
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