One-Shot Affordance Learning (OSAL): Learning to Manipulate Articulated Objects by Observing Once
Author:
Affiliation:
1. Institute of Industrial Science, The University of Tokyo,Tokyo,Japan,153-8505
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341421.pdf?arnumber=10341421
Reference34 articles.
1. Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations;Mu;arXiv preprint,2021
2. A glove-based system for studying hand-object manipulation via joint pose and force sensing
3. The RBO dataset of articulated objects and interactions
4. Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
5. Universal Manipulation Policy Network for Articulated Objects
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