DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping-Reference-Cited by-同舟云学术

DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping

Published:2022-10 Issue:4 Volume:7 Page:8941-8948
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zhai Guangyao¹^ORCID,Zheng Yu²^ORCID,Xu Ziwei²^ORCID,Kong Xin³^ORCID,Liu Yong⁴^ORCID,Busam Benjamin¹^ORCID,Ren Yi²^ORCID,Navab Nassir¹,Zhang Zhengyou²^ORCID

Affiliation:

1. Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany

2. Tencent Robotics X, Tencent, Shenzhen, China

3. Department of Computing, Imperial College London, London, U.K.

4. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09826816.pdf?arnumber=9826816

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2. Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation;IEEE Transactions on Robotics;2024

3. A Novel Learning-based Approach for Dual-Arm Robot Operation Point Selection;2023 IEEE International Conference on Development and Learning (ICDL);2023-11-09

4. On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06