REINFORCEMENT LEARNING AND EGA-BASED TRAJECTORY PLANNING FOR DUAL ROBOTS

Yi Liu, Ming Cong, Hang Dong, and Dong Liu

References

  1. [1] M.P. Tsai, N.C. Tsai, and C.W. Yeh, On milling of thin-wall conical and tubular workpieces, Mechanical Systems and Signal Processing, 72–73, 2016, 395–408.
  2. [2] M.Y. Xiao and H. Nagamochi, An improved exact algorithm for TSP in graphs of maximum degree 4, Theory of Computing Systems, 58(2), 2016, 241–272.
  3. [3] H.C. Song, Y.L. Kim, and J.B. Song, Guidance algorithm for complex-shape peg-in-hole strategy based on geometrical information and force control, Advanced Robotics, 30(8), 2016, 552–563.
  4. [4] D. Silver, et al., Mastering the game of Go with deep neural networks and tree search, Nature, 529(7587), 2016, 484.
  5. [5] D. Xiong, et al., The design of an intelligent soccer-playing robot, Industrial Robot-an International Journal, 43(1), 2016, 91–102.
  6. [6] M. Mahmoodi, K. Alipour, and H.B. Mohammadi, KidVO: A kinodynamically consistent algorithm for online motion planning in dynamic environments, Industrial Robot – An International Journal, 43(1), 2016, 33–47.
  7. [7] S. Gao, et al., Genetic algorithm based path planning of coordinated multi-robot manipulators, 2003 IEEE Int. Conf. Robotics, Intelligent Systems and Signal Processing, Vols 1 and 2 (New York: IEEE, 2003), 763–767.
  8. [8] M. Moallem and R. Khoshbin, An environment for programming and control of multi-robot manipulators, Industrial Robot – An International Journal, 33(4), 2006, 254–258.
  9. [9] J. Fang, T. Mei, J. Zhao, and T. Liet al., A dual-mode online optimization method for trajectory tracking of redundant manipulators, Industrial Robot – An International Journal, 43(2), 2016, 241–252.
  10. [10] A. Tavasoli, M. Eghtesad, and H. Jafarian, Two-time scale control and observer design for trajectory tracking of two cooperating robot manipulators moving a flexible beam, Robotics and Autonomous Systems, 57(2), 2009, 212–221.
  11. [11] W.H. Zhu, On adaptive synchronization control of coordinated multirobots with flexible/rigid constraints, IEEE Transactions on Robotics, 21(3), 2005, 520–525.
  12. [12] Y. Lu, Y. Liu, and N.J. Ye, Dynamics analysis of a novel 5-DoF 3SPU+2SPRR type parallel manipulator, Advanced Robotics, 30(9), 2016,. 595–607.
  13. [13] H.S. Liu, X.B. Lai, and W.X. Wu, Time-optimal and jerkcontinuous trajectory planning for robot manipulators with kinematic constraints, Robotics and Computer-Integrated Manufacturing, 29(2), 2013, 309–317.
  14. [14] W.F. Xu, B. Liang, and Y.S. Xu, Practical approaches to handle the singularities of a wrist-partitioned space manipulator, Acta Astronautica, 68(1–2), 2011, 269–300.
  15. [15] K. Nanos and E. Papadopoulos, Avoiding dynamic singularities in cartesian motions of free-floating manipulators, IEEE Transactions on Aerospace and Electronic Systems, 51(3), 2015, 2305–2318.
  16. [16] K. Baizid, A. Yousnadj, A. Amal Meddahi, R. Chellali, and J. Iqbal, Time scheduling and optimization of industrial robotized tasks based on genetic algorithms, Robotics and ComputerIntegrated Manufacturing, 34, 2015, 140–150.
  17. [17] F. Liu and F. Lin, Time-jerk optimal planning of industrial robot trajectories, International Journal of Robotics & Automation, 31(1), 2016, 1–7.
  18. [18] T.L. Mai, Y.N. Wang, and T. Ngo, Adaptive tracking control for robot manipulators using fuzzy wavelet neural networks, International Journal of Robotics & Automation, 30(1), 2015, 26–39.
  19. [19] M. Sadeghzadeh, D. Calvert, and H.A. Abdullah, Autonomous visual servoing of a robot manipulator using reinforcement learning, International Journal of Robotics & Automation, 31(1), 2016, 26–38.
  20. [20] C.B. Moon and W. Chung, Kinodynamic planner dual-tree RRT (DT-RRT) for two-wheeled mobile robots using the rapidly exploring random tree, IEEE Transactions on Industrial Electronics, 62(2), 2015, 1080–1090.
  21. [21] A.H. Qureshi and Y. Ayaz, Intelligent bidirectional rapidlyexploring random trees for optimal motion planning in complex cluttered environments, Robotics and Autonomous Systems, 68, 2015, 1–11.
  22. [22] Q.Z. Lin, J. Li, Z. Du, J. Chen, and Z. Ming, A novel multiobjective particle swarm optimization with multiple search strategies, European Journal of Operational Research, 247(3), 2015, 732–744.
  23. [23] N. Pholdee and S. Bureerat, Hybrid real-code ant colony optimisation for constrained mechanical design, International Journal of Systems Science, 47(2), 2016, 474–491.
  24. [24] M.M. Wang, J.J. Luo, and U. Walter, Trajectory planning of free-floating space robot using Particle Swarm Optimization (PSO), Acta Astronautica, 112, 2015, 77–88.
  25. [25] S. Ishikawa, R. Kubota, and K. Horio, Effective hierarchical optimization by a hierarchical multi-space competitive genetic algorithm for the flexible job-shop scheduling problem, Expert Systems with Applications, 42(24), 2015, 9434–9440.
  26. [26] W.R. Jong and P.J. Lai, The navigation process of mouldmanufacturing scheduling optimisation by applying genetic algorithm, International Journal of Computer Integrated Manufacturing, 28(12), 2015, 1331–1349.
  27. [27] G.L. Storti, M. Paschero, A. Rizzi, and F.M.F. Mascioli, Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms, Neurocomputing, 170, 2015, 353–367.
  28. [28] R. Sharma and M. Gopal, A Markov game-adaptive fuzzy controller for robot manipulators, IEEE Transactions on Fuzzy Systems, 16(1), 2008, 171–186.

Important Links:

Go Back