Manipulators 3D printing trajectory tracking control combined with RBFNNs and visual feedback
Author:
Affiliation:
1. Nanjing University of Aeronautics and Astronautics,College of Mechanical & Electrical Engineering,Nanjing,China
2. CASIC Space Engineering Development Co., Ltd,Smart Manufacturing Center,Wuhan,China
Funder
Natural Science Foundation of Jiangsu Province
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10023546/10022325/10023700.pdf?arnumber=10023700
Reference20 articles.
1. Improved parametric identification method based on robot dynamics[J];li;Chinese Journal of Construction Machinery,2015
2. Modal Decoupled Dynamics Feed-Forward Active Force Control of Spatial Multi-DOF Parallel Robotic Manipulator
3. Neural network–based sliding-mode control of a tendon sheath–actuated compliant rescue manipulator
4. Neural-Learning-Based Control for a Constrained Robotic Manipulator With Flexible Joints
5. Adaptive neural network control of robot manipulators in task space
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