SEARCHING FOR SPECIAL CASES OF THE 6R SERIAL MANIPULATORS USING MUTABLE SMART BEE OPTIMIZATION ALGORITHM

Omid Heidari, Hamid Daniali, and Alireza Fathi

References

  1. [1] M. Raghavan and B. Roth, Inverse kinematics of the general 6R manipulator and related linkages, Transactions of the ASME, Journal of Mechanical Design, 115, 1990, 228–235.
  2. [2] D. Kohli and M. Osvatic, Inverse kinematics of general 6R and 5R,P serial manipulators, Transactions of the ASME, 115(4),1993, 922–931.
  3. [3] J. Angeles, Fundamentals of robotic mechanical systems: theory, methods, and algorithms. (New York, NY: Springer, 1997).
  4. [4] M.L. Husty, M. Pfurner, and H-P. Schröcker, A new and efficient algorithm for the inverse kinematics of a general serial 6R manipulator, Mechanism and Machine Theory, 42(1), 2007, 66–81.
  5. [5] W. Yan, H. Lu-bin, and Y. Ting-li, Inverse kinematics analysis of general 6R serial robot mechanism based on Groebner Base, Journal of Shanghai Jiaotong University, 38(6), 2004, 853–856.
  6. [6] L.Y. Feng, H.L. Bing, and Y.T. Li, A simple method for inverse kinematic analysis of the general 6R serial robot, Journal of Mechanical Design, 129(8), 2007, 93–798.
  7. [7] D. Gan, Q. Liao, S. Wei, J. S. Dai, and S. Qiao, Dual quaternion-based inverse kinematics of the general spatial 7R mechanism, Proc. IMechE, Part C: J. Mechanical Engineering, 222, 2008, 1593–1598.
  8. [8] S. Qiao, Q. Liao, S. Wei, and H.J. Su, Inverse kinematic analysis of the general 6R serial manipulators based on double quaternions, Mechanism and Machine Theory, 45, 2010, 193–199.
  9. [9] D.L. Pieper and B. Roth, The kinematics of manipulators under computer control, Proc. Second Int. Congress for the Theory of Machines and Mechanisms, Zakopane Poland, 2, 1969, 159–168.
  10. [10] J. Duffy, Analysis of mechanisms and manipulators (New York, NY: Wiley, 1980).
  11. [11] H. Albala and D. Pessen, Displacement analysis of a special case of the 7R,single-loop, spatial mechanism, ASME Journal of Mechanisms, Transmissions, and Automation in Design, 105, 1983, 78–87.
  12. [12] C. Mavroidis and B. Roth, Structural parameters which reduce the number of manipulator configurations, Transactions of the ASME, Journal of Mechanical Design, 116(1), 1994, 3–10.
  13. [13] G. Abbasnejad, H.M. Daniali, and A. Fathi, Architecture optimization of 4PUS+1PS parallel manipulator, Robotica, 29, 2011, 683–690.
  14. [14] Q. Xu and Y. Li, Stiffness optimization of a 3-DOF parallel kinematic machine using particle swarm optimization, IEEE Int. Conf. on Robotics and Biomimetics, 2006, 17–20 December 2006, 1169, 1174.
  15. [15] Z. Hui and Z. Chun Feng, Accuracy analysis of a parallel robot with particle swarm optimization, Int. Conf. on Computational Intelligence and Security, 2, 11–14 December 2009, 142–145.
  16. [16] L. Li, Q. Zhu, and L. Xu, Solution for forward kinematics of 6-DOF parallel robot based on particle swarm optimization, Int. Conf. on Mechatronics and Automation, 5–8 August, 2007, 2968–2973.
  17. [17] P. Zhang, X. Mu, Z. Ma, and F. Du, An adaptive PSO-based method for inverse kinematics analysis of serial manipulator, 2012 Int. Conf. on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 15–18 June, 2012, 1122–1126.
  18. [18] V.B. Saputra, S.K. Ong, and A.Y.C. Nee, A PSO algorithm for mapping the workspace boundary of parallel manipulators, 2010 IEEE Int. Conf. on Robotics and Automation (ICRA), 3–7 May, 2010, 4691–4696.
  19. [19] R. Gross and M. Dorigo, Towards group transport by swarms of robots, International Journal of Bio-Inspired Computation, 1, 2009, 1–13.
  20. [20] G.R. Pennock and A.T. Yang, Application of dual-number matrices to the inverse kinematics problem of robot manipulators, Journal of Mechanical, Transactions and Automation, 107(2), 1985, 201–208.
  21. [21] D. Karaboga and A. Akay, A survey: algorithms simulating bee swarm intelligence, Artificial Intelligence Review, 31, 2009, 61–85.
  22. [22] D. Karaboga and B. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, Journal of Global Optimization, 39(3), 459–471.
  23. [23] M. Koudil, K. Benatchba, A. Tarbet, and E.B. Sahraoui, Using artificial bees to solve partitioning and scheduled problems in co-design, Applied Mathematics with Computation, 2, 2007, 1710–1722.
  24. [24] A. Mozaffari, M. Gorji-Bandpy, and T.B. Gorji, Optimal design of constraint engineering systems: application of mutable smart bee algorithm, International Journal of Bio-Inspired Computation, 4, 2012, 167–180.
  25. [25] A. Mozaffari, A. Ramiar, and A. Fathi, Optimal design of classic Atkinson engine with dynamic specific heat using adaptive neuro-fuzzy inference system and mutable smart bee algorithm, Swarm and Evolutionary Computation, http://dx.doi.org/10.1016/j.swevo.2013.01.002.
  26. [26] A. Fathi and A. Mozaffari, Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map, Intelligent Manufacturing, http://dx.doi.org/10.1007/s10845-012-0718-6.

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