Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-259-2021
https://doi.org/10.5194/ms-12-259-2021
Research article
 | 
03 Mar 2021
Research article |  | 03 Mar 2021

A novel algorithm by combining nonlinear workspace partition with neural networks for solving the inverse kinematics problem of redundant manipulators

Hui Dong, Chen Li, Wentao Wu, Ligang Yao, and Hao Sun

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Cited articles

Ananthanarayanan, H. and Ordóñez, R.: Real-time Inverse Kinematics of (2n+1) DOF hyper-redundant manipulator arm via a combined numerical and analytical approach, Mech. Mach. Theory, 91, 209–226, 2015. 
Artemiadis, P. K., Katsiaris, P. T., and Kyriakopoulos, K. J.: A biomimetic approach to inverse kinematics for a redundant robot arm, Auton. Robot, 29, 293–308, 2010. 
Ayyılldılz, M. and Çetinkaya, K.: Comparison of four different heuristic optimization algorithms for the inverse kinematics solution of a real 4-DOF serial robot manipulator, Neural Comput. Appl., 27, 825–836, 2016. 
Baerlocher, P. and Boulic, R.: An inverse kinematics architecture enforcing an arbitrary number of strict priority levels, Visual Comput., 20, 402–417, 2004. 
Bayram, A. and ózgóren, M. K.: The position control of a spatial binary hyper redundant manipulator through its inverse kinematics, P. I. Mech. Eng. C.-J. Mec., 227, 359–372, 2013.