PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations-Reference-Cited by-同舟云学术

PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Geng Haoran¹,Li Ziming¹,Geng Yiran¹,Chen Jiayi¹,Dong Hao¹,Wang He¹

Affiliation:

1. Peking University,CFCS

Funder

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203221.pdf?arnumber=10203221

Reference56 articles.

1. Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability;ghosh;Advances in neural information processing systems,2021

2. End-to-end affor-dance learning for robotic manipulation;geng;ar Xiv preprint,2022

3. Dualafford: Learning collaborative visual affordance for dual-gripper object manipulation;zhao;ArXiv Preprint,2022

4. RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images

5. Knowledge Distillation: A Survey

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