Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery-Reference-Cited by-同舟云学术

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Structure from Action: Learning Interactions for 3D Articulated Object Structure Discovery

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Nie Neil¹,Gadre Samir Yitzhak¹,Ehsani Kiana²,Song Shuran¹

Affiliation:

1. Columbia University

2. Allen Institute for AI

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342135.pdf?arnumber=10342135

Reference57 articles.

1. Learning to generalize kinematic models to novel objects;Abbatematteo;CoRL,2019

2. Learning to infer kinematic hierarchies for novel object instances;Abdul-Rashid;arXiv,2021

3. Manipulation of Articulated Objects Using Dual-arm Robots via Answer Set Programming

4. Eigentracking: Robust matching and tracking of articulated objects using a view-based representation;Black;IJCV,1998

5. Whole-body motion planning for manipulation of articulated objects

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. 3D Implicit Transporter for Temporally Consistent Keypoint Discovery;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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