Cerebellum-Inspired Model-Free Tracking Control and Visual Servoing of a Rigid-Flexible Hybrid Robotic Endoscope With RCM Constraints-Reference-Cited by-同舟云学术

Cerebellum-Inspired Model-Free Tracking Control and Visual Servoing of a Rigid-Flexible Hybrid Robotic Endoscope With RCM Constraints

Published:2023-12 Issue:12 Volume:70 Page:12626-12635
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Wang Xin¹^ORCID,Tan Ning¹^ORCID

Affiliation:

1. School of Computer Science and Engineering and Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-Sen University, Guangzhou, China

Funder

Key-Area Research and Development Program of Guangzhou

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10153933/10034457.pdf?arnumber=10034457

Reference32 articles.

1. A Small Opening Workspace Control Strategy for Redundant Manipulator Based on RCM Method

2. Incorporating model predictive control with fuzzy approximation for robot manipulation under remote center of motion constraint

3. Smart surgical control under RCM constraint using bio-inspired network

4. Tracking control of redundant manipulator under active remote center-of-motion constraints: an RNN-based metaheuristic approach

5. Brian 2, an intuitive and efficient neural simulator

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