Neural Network Compensation of Dynamic Errors in a Robot Manipulator Programmed Control System

Author:

Zhengjie Yan,Rostova Ekaterina N.,Rostov Nikolay V.

Publisher

Springer International Publishing

Reference25 articles.

1. Bhattacharjee, T., Bhattacharjee, A.: A study of neural network based inverse kinematics solution for a planar three joint robot with obstacle avoidance. Assam Univ. J. Sci. Technol.: Phys. Sci. Technol. 5(2), 1–7 (2010)

2. Chiddarwar, S.S., Babu, N.R.: Comparison of RBF and MLP neural networks to solve inverse kinematic problem for 6R serial robot by a fusion approach. Eng. Appl. Artif. Intell. 23, 1083–1092 (2010)

3. Corke, P.I.: Robotics, Vision and Control. Fundamental Algorithms in MATLAB, 2nd edn. Springer, Heidelberg (2017)

4. Corke, P.I.: Robotics Toolbox for MATLAB. Release 10 (2017)

5. Dixon, W.E.; Moses, D.; Walker, L.D.; Dawson, D.M.: A Simulink-based robotic toolkit for simulation and control of the PUMA 560 robot manipulator. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, A, pp. 2202–2207 (2001)

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