Position-Based Visual Servo Control of Dual Robotic Arms With Unknown Kinematic Models: A Cerebellum- Inspired Approach-Reference-Cited by-同舟云学术

Position-Based Visual Servo Control of Dual Robotic Arms With Unknown Kinematic Models: A Cerebellum- Inspired Approach

Published:2023-08 Issue:4 Volume:28 Page:2328-2339
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Yu Peng¹^ORCID,Tan Ning¹^ORCID,Mao Mingzhi²^ORCID

Affiliation:

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

2. School of Software Engineering, Sun Yat-sen University, Guangzhou, PR 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,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/3516/10219030/10020184.pdf?arnumber=10020184

Reference35 articles.

1. Exponential Tracking Control of Robotic Manipulators With Uncertain Dynamics and Kinematics

2. Optimization and applications of echo state networks with leaky- integrator neurons

3. Pseudoinverse-type bi-criteria minimization scheme for redundancy resolution of robot manipulators

4. A general framework for managing multiple tasks in highly redundant robotic systems

5. A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion

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