Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models
Author:
Affiliation:
1. University of Michigan,Robotics Department,Ann Arbor,MI,United States,48109
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610323.pdf?arnumber=10610323
Reference34 articles.
1. Enabling Visual Action Planning for Object Manipulation Through Latent Space Roadmap
2. Co-manipulation of soft-materials estimating deformation from depth images
3. Learning where to trust unreliable models in an unstructured world for deformable object manipulation
4. Planning with spatial-temporal abstraction from point clouds for deformable object manipulation;Lin
5. Focused Adaptation of Dynamics Models for Deformable Object Manipulation
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