A Bimanual Manipulation Taxonomy

Author:

Krebs Franziska1ORCID,Asfour Tamim1ORCID

Affiliation:

1. Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany

Funder

German Federal Ministry of Education and Research

Carl-Zeiss-Stiftung

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

Cited by 16 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. A Comparison of Imitation Learning Algorithms for Bimanual Manipulation;IEEE Robotics and Automation Letters;2024-10

2. Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory;at - Automatisierungstechnik;2024-09-01

3. A HUG taxonomy of humans with potential in human–robot hugs;Scientific Reports;2024-06-20

4. Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Constrained Bimanual Planning with Analytic Inverse Kinematics;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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