GBEC: Geometry-Based Hand-Eye Calibration-Reference-Cited by-同舟云学术

GBEC: Geometry-Based Hand-Eye Calibration

Published:2024-05-13 Issue: Volume: Page:16698-16705
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Liu Yihao¹,Zhang Jiaming¹,She Zhangcong²,Kheradmand Amir³,Armand Mehran⁴

Affiliation:

1. Johns Hopkins University,Department of Computer Science,Baltimore,MD,USA,21218

2. Johns Hopkins University,Department of Mechanical Engineering,Baltimore,MD,USA,21218

3. Johns Hopkins University,Department of Neurology, and Department of Neuroscience,Baltimore,MD,USA,21218

4. Johns Hopkins University,Applied Physics Laboratory,Department of Mechanical Engineering, Department of Computer Science, Department of Orthopaedic Surgery,Baltimore,MD,USA,21218

Funder

National Institute of Arthritis and Musculoskeletal and Skin Diseases

National Institute of Biomedical Imaging and Bioengineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611550.pdf?arnumber=10611550

Reference44 articles.

1. A Probabilistic Solution to the AX=XB Problem: Sensor Calibration without Correspondence

2. A novel solution for $\mathbf{AX}=\mathbf{YB}$ sensor calibration problem using dual Lie algebra

3. Hand-eye and robot-world calibration by global polynomial optimization

4. Positioning Accuracy Improvement of Industrial Robots Considering Configuration and Payload Effects Via a Hybrid Calibration Approach

5. Simultaneous Hand-Eye and Robot-World Calibration by Solving the $AX=YB$ Problem Without Correspondence

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