SM<sup>3</sup>: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects-Reference-Cited by-同舟云学术

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SM³: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects

Published:2024-05-13 Issue: Volume:33 Page:12492-12498
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Wang Haowen¹,Zhao Zhen²,Jin Zhao²,Che Zhengping²,Qiao Liang¹,Huang Yakun¹,Fan Zhipeng¹,Qiao Xiuquan¹,Tang Jian²

Affiliation:

1. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,China

2. Midea Group,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610171.pdf?arnumber=10610171

Reference37 articles.

1. AKB-48: A Real-World Articulated Object Knowledge Base

2. Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation

3. DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

4. Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects

5. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

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