Toward Unified Adaptive Teleoperation Based on Damping ZNN for Robot Manipulators With Unknown Kinematics
Author:
Affiliation:
1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
2. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Basic and Applied Basic Research Foundation of Guangdong Province
Open Project of Shenzhen Institute of Artificial Intelligence and Robotics for Society
Key-Area Research and Development Program of Guangzhou
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10091710/09912327.pdf?arnumber=9912327
Reference37 articles.
1. Model-Less Hybrid Position/Force Control: A Minimalist Approach for Continuum Manipulators in Unknown, Constrained Environments
2. Transparency in Time for Teleoperation Systems
3. Teleoperation Control of Flexible Joint Continuum Robot
4. A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators
5. Adaptive Projection Neural Network for Kinematic Control of Redundant Manipulators With Unknown Physical Parameters
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