Ganesan Kanagaraj,∗ Shahul Abdul Rahim Sheik Masthan,∗ and Vincent F. Yu∗∗
[1] T. Raja Prathab, R. Suja Mani Malar, and T. Ahilan, Amethod of extended Jacobian and firefly algorithm for thekinematic analysis of planar robots, International Journal ofRobotics and Automation, 6(2), 2017, 141–150. [2] H. Yi and R. Langari, A design and bio-inspired control of anovel redundant manipulator with m-DOFs links, InternationalJournal of Robotics and Automation, 27(4), 2012, 206–3801. [3] D. Manocha and J.F. Canny, Efficient inverse kinematicsfor general 6R manipulators, IEEE Journal on Robotics andAutomation, 10(5), 1994, 648–657. [4] Q. Yu, G. Wang, T. Ren, L. Wu, and K. Chen, An efficientalgorithm for inverse kinematics of robots with non-sphericalwrist, International Journal of Robotics and Automation, 33(1),2018, 206–4943. [5] A. El-Sherbiny, M.A. Elhosseini, and A.Y. Haikal, A compar-ative study of soft computing methods to solve inverse kine-matics problem, Ain Shams Engineering Journal, 9(4), 2018,2535–2548. [6] A. El-Sherbiny, A.E. Mostafa, and A.Y. Haikal. A new ABCvariant for solving inverse kinematics problem in 5 DOF robotarm, 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 modellingfor robot manipulator, International Journal of Robotics andAutomation, 34(1), 2019, 206–4335. [8] R. Ramkumar, C. Karthikeyan, and A.K. Dash, A newworkspace analysis method for 6-DOF 3-RRRS parallel ma-nipulators, International Journal of Robotics and Automation,34, 2019, 206–5178. [9] R.V. Ram, P.M. Pathak, and S.J. Junco, Inverse kinematics ofmobile manipulator using bidirectional PSO by manipulator de-coupling, Mechanism and Machine Theory, 131, 2019, 385–405. [10] S. Dereli and R. K¨oker, A meta-heuristic proposal for inversekinematics solution of 7-DOF serial robotic manipulator,Artificial Intelligence, Rev, 2019, 1–16. [11] Y. Huang, M. Fei, and W. Zhou, Multi-objective trajectoryplanning of robot manipulator in a moving obstacle environ-ment, International Journal of Robotics and Automation, 34,2019, 206-0088. [12] G. Waseem and A. Al-Mousa, Robotic obstacle avoidancein 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 redun-dant robots operating in complex environments via modifiedGA, Mechanism and Machine Theory, 33(3), 1998, 273–292. [14] M. Ayyildiz and K. C¸etinkaya, Comparison of four differentheuristic optimization algorithms for the inverse kinematicssolution of a real 4-DOF serial robot manipulator, NeuralComputing and Applications, 27(4), 2016, 825–836. [15] Z.-W. Ren, Z.-H. Wang, and L.-N. Sun, A global harmonysearch algorithm and its application to inverse kinematicsproblem for humanoid arm, Control Theory & Applications,29(7), 2012, 867–876. [16] G.S. Chyan and S.G. Ponnambalam, Obstacle avoidance con-trol of redundant robots using variants of particle swarm op-timization, Robotics and Computer Integrated Manufacturing,28(2), 2012, 147–153. [17] S.M. Warnakulasooriya and S.G. Ponnambalam, Trajectoryplanning and obstacle avoidance control of redundant robotsusing differential evolution and particle swarm optimizationalgorithms, Proceedings of the Swarm, Evolutionary andMemetic Computing: 5th International Conference, SEMCCO2014, Vol. 8947, Springer, Switzerland, 2015, 596–605. [18] X.-S. Yang, A.H. Gandomi, Bat algorithm: A novel approachfor global engineering optimization, Engineering Computa-tions, 29(5), 2012, 464–483. [19] Build a Robot Step by Step using MATLAB: https://in.mathworks.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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