Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation-Reference-Cited by-同舟云学术

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Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation

Published:2021-05-30 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Paradis Samuel,Hwang Minho,Thananjeyan Brijen,Ichnowski Jeffrey,Seita Daniel,Fer Danyal,Low Thomas,Gonzalez Joseph E.,Goldberg Ken

Funder

Johns Hopkins University

Worcester Polytechnic Institute

University of Washington

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561070.pdf?arnumber=9561070

Cited by 17 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. EA-CTFVS: An Environment-Agnostic Coarse-to-Fine Visual Servoing Method for Sub-Millimeter-Accurate Assembly;Actuators;2024-08-03

2. Improving the realism of robotic surgery simulation through injection of learning-based estimated errors;2024 International Symposium on Medical Robotics (ISMR);2024-06-03

3. CNS: Correspondence Encoded Neural Image Servo Policy;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Dynamic error characteristics of robot motion analyzed for the suitability of visual-servoing;AIP Conference Proceedings;2024

5. Robot-Assisted Vascular Shunt Insertion with the dVRK Surgical Robot;Journal of Medical Robotics Research;2023-11-30

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