KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning

Journal:

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Published:

2025-10-25

DOI:

10.1109/iros60139.2025.11246850

Affiliations:

5

Authors:

5

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Institutions	Authors	Share
Zhejiang University (ZJU), China	2.500000	0.50
China Research and Development Academy of Machinery Equipment, China	1.000000	0.20
State Key Laboratory of Industrial Control Technology, China	0.500000	0.10
Technical University of Munich (TUM), Germany	0.500000	0.10
Munich Center for Machine Learning (MCML), Germany	0.500000	0.10

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