Learning-Based Inverse Kinematics Identification of the Tendon-Driven Robotic Manipulator for Minimally Invasive Surgery-Reference-Cited by-同舟云学术

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Learning-Based Inverse Kinematics Identification of the Tendon-Driven Robotic Manipulator for Minimally Invasive Surgery

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Xiao Bo¹,Hong Wuzhou²,Wang Ziwei³,Lo Frank Po Wen⁴,Wang Zeyu⁴,Yu Zhenhua¹,Chen Shihong⁵,Liu Zehao¹,Vaidyanathan Ravi¹,Yeatman Eric M.⁵

Affiliation:

1. Imperial College,Department of Mechanical Engineering,London,U.K.

2. Institute of Forming Technology and Equipment, Shanghai Jiao Tong University,China

3. School of Engineering, Lancaster University,U.K.

4. Imperial College London,The Hamlyn Centre for Robotic Surgery,London,U.K.,SW7 2AZ

5. Imperial College London,Department of Electrical and Electronic Engineering,U.K

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312186.pdf?arnumber=10312186

Reference29 articles.

1. Deep Reinforcement Learning-Based Control Framework for Multilateral Telesurgery

2. Learning to Assist Bimanual Teleoperation using Interval Type-2 Polynomial Fuzzy Inference

3. A study of neural-network-based classifiers for material classification

4. Towards Human-Robot Collaborative Surgery: Trajectory and Strategy Learning in Bimanual Peg Transfer

5. Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints

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