Ganesan Kanagaraj,∗ Shahul Abdul Rahim Sheik Masthan,∗ and Vincent F. Yu∗∗
[1] T. Raja Prathab, R. Suja Mani Malar, and T. Ahilan, A method of extended Jacobian and firefly algorithm for the kinematic analysis of planar robots, International Journal of Robotics and Automation, 6(2), 2017, 141–150. [2] H. Yi and R. Langari, A design and bio-inspired control of a novel redundant manipulator with m-DOFs links, International Journal of Robotics and Automation, 27(4), 2012, 206–3801. [3] D. Manocha and J.F. Canny, Efficient inverse kinematics for general 6R manipulators, IEEE Journal on Robotics and Automation, 10(5), 1994, 648–657. [4] Q. Yu, G. Wang, T. Ren, L. Wu, and K. Chen, An efficient algorithm for inverse kinematics of robots with non-spherical wrist, International Journal of Robotics and Automation, 33(1), 2018, 206–4943. [5] A. El-Sherbiny, M.A. Elhosseini, and A.Y. Haikal, A comparative study of soft computing methods to solve inverse kinematics problem, Ain Shams Engineering Journal, 9(4), 2018, 2535–2548. [6] A. El-Sherbiny, A.E. Mostafa, and A.Y. Haikal. A new ABC variant for solving inverse kinematics problem in 5 DOF robot arm, Applied Soft Computing, 73, 2018, 24–38. [7] Y. Cao, J. Gu, Y. Zang, X. Wu, S. Zhang, and M. Guo, Path planning-oriented obstacle avoiding workspace modelling for robot manipulator, International Journal of Robotics and Automation, 34(1), 2019, 206–4335. [8] R. Ramkumar, C. Karthikeyan, and A.K. Dash, A new workspace analysis method for 6-DOF 3-RRRS parallel manipulators, International Journal of Robotics and Automation, 34, 2019, 206–5178. [9] R.V. Ram, P.M. Pathak, and S.J. Junco, Inverse kinematics of mobile manipulator using bidirectional PSO by manipulator decoupling, Mechanism and Machine Theory, 131, 2019, 385–405. [10] S. Dereli and R. Köker, A meta-heuristic proposal for inverse kinematics solution of 7-DOF serial robotic manipulator, Artificial Intelligence, Rev, 2019, 1–16. [11] Y. Huang, M. Fei, and W. Zhou, Multi-objective trajectory planning of robot manipulator in a moving obstacle environment, International Journal of Robotics and Automation, 34, 2019, 206-0088. [12] G. Waseem and A. Al-Mousa, Robotic obstacle avoidance in a partially observable environment using feature ranking, International Journal of Robotics and Automation, 34(5), 2019, 206–5213. [13] C. Andreas, Solving the inverse kinematics problem of redundant robots operating in complex environments via modified GA, Mechanism and Machine Theory, 33(3), 1998, 273–292. [14] M. Ayyildiz and K. C¸etinkaya, Comparison of four different heuristic optimization algorithms for the inverse kinematics solution of a real 4-DOF serial robot manipulator, Neural Computing and Applications, 27(4), 2016, 825–836. [15] Z.-W. Ren, Z.-H. Wang, and L.-N. Sun, A global harmony search algorithm and its application to inverse kinematics problem for humanoid arm, Control Theory & Applications, 29(7), 2012, 867–876. [16] G.S. Chyan and S.G. Ponnambalam, Obstacle avoidance control of redundant robots using variants of particle swarm optimization, Robotics and Computer Integrated Manufacturing, 28(2), 2012, 147–153. [17] S.M. Warnakulasooriya and S.G. Ponnambalam, Trajectory planning and obstacle avoidance control of redundant robots using differential evolution and particle swarm optimization algorithms, Proceedings of the Swarm, Evolutionary and Memetic Computing: 5th International Conference, SEMCCO 2014, Vol. 8947, Springer, Switzerland, 2015, 596–605. [18] X.-S. Yang, A.H. Gandomi, Bat algorithm: A novel approach for global engineering optimization, Engineering Computations, 29(5), 2012, 464–483. [19] Build a Robot Step by Step using MATLAB: https://in.math works.com/help/robotics/ug/build-a-robot-step-by-step. html [20] J.J. Craig, Introduction to Robotics: Mechanics and Control, 3rd ed. (India: Pearson Education India, 2004).
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