Jianjun Ni, Kang Wang, Qingyun Cao, Zubair Khan, and Xinnan Fan


  1. [1] T.-K. Wang, Q. Dang, and P.-Y. Pan, Path planning approach in unknown environment, International Journal of Automation and Computing, 7(3), 2010, 310–316.
  2. [2] M.A.K. Jaradat, M.H. Garibeh, and E.A. Feilat, Autonomous mobile robot dynamic motion planning using hybrid fuzzy potential field, Soft Computing, 16(1), 2012, 153–164.
  3. [3] E. Galceran and M. Carreras, A survey on coverage path planning for robotics, Robotics and Autonomous Systems, 61(12), 2013, 1258–1276.
  4. [4] L. Deng, X. Ma, J. Gu, Y. Li, Z. Xu, and Y. Wang, Artificial immune network-based multi-robot formation path planning with obstacle avoidance, International Journal of Robotics and Automation, 31(3), 2016, 233–242.
  5. [5] S. Ge and Y. Cui, Dynamic motion planning for mobile robots using potential field method, Autonomous Robots, 13(3), 2002, 207–222.
  6. [6] T.-K. Lee, S.-H. Baek, Y.-H. Choi, and S.-Y. Oh, Smooth coverage path planning and control of mobile robots based on high-resolution grid map representation, Robotics and Autonomous Systems, 59(10), 2011, 801–812.
  7. [7] J. Kim, M. Kim, and D. Kim, Variants of the quantized visibility graph for efficient path planning, Advanced Robotics, 25(18), 2011, 2341–2360.
  8. [8] J. Ni, L. Wu, X. Fan, and S.X. Yang, Bioinspired intelligent algorithm and its applications for mobile robot control: A survey, Computational Intelligence & Neuroscience, 2016(2), 2016, 1–16.
  9. [9] J. Chen, S. Xie, H. Li, J. Luo, and K. Feng, Robot path planning based on adaptive integrating of genetic and ant colony algorithm, International Journal of Innovative Computing, Information and Control, 11(3), 2015, 833–850.
  10. [10] D. Liu, L. Wang, and K. Tan, Design and control of intelligent robotic systems (Heidelberg: Springer, 2009).
  11. [11] O. Montiel, U. Orozco-Rosas, and R. Sepulveda, Path planning for mobile robots using bacterial potential field for avoiding static and dynamic obstacles, Expert Systems with Applications, 42(12), 2015, 5177–5191.
  12. [12] J. Ni, X. Li, M. Hua, and S.X. Yang, Bioinspired neural network-based Q-learning approach for robot path planning in unknown environments, International Journal of Robotics and Automation, 31(6), 2016, 464–474.
  13. [13] Y. Xue and H. Liu, Optimal path planning in complex indoor environment based on improved PSO, Journal of Computational Information Systems, 7(6), 2011, 2158–2165.
  14. [14] P. He and S. Dai, Real-time stealth corridor path planning for fleets of unmanned aerial vehicles in low-altitude penetration, International Journal of Robotics and Automation, 30(1), 2015, 60–69.
  15. [15] J. Botzheim, Y. Toda, and N. Kubota, Bacterial memetic algorithm for offline path planning of mobile robots, Memetic Computing, 4(1), 2012, 73–86.
  16. [16] Z. Zhu, F. Wang, S. He, and Y. Sun, Global path planning of mobile robots using a memetic algorithm, International Journal of Systems Science, 46(11), 2015, 1982–1993.
  17. [17] G. Fraser, A. Arcuri, and P. McMinn, A memetic algorithm for whole test suite generation, Journal of Systems and Software, 103(C), 2015, 311–327.
  18. [18] H. Qu, K. Xing, and T. Alexander, An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots, Neurocomputing, 120, 2013, 509–517.
  19. [19] P.-C. Chang, S.-S. Chen, and C.-Y. Fan, Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems, Applied Soft Computing Journal, 8(1), 2008, 767–777.
  20. [20] P. Foldesi and J. Botzheim, Modeling of loss aversion in solving fuzzy road transport traveling salesman problem using eugenic bacterial memetic algorithm, Memetic Computing, 2(4), 2010, 259–271.
  21. [21] A. Prugel-Bennett, Modeling crossover-induced linkage in genetic algorithms, IEEE Transactions on Evolutionary Computation, 5(4), 2001, 376–387.
  22. [22] G.E. Jan, K.Y. Chang, and I. Parberry, Optimal path planning for mobile robot navigation, IEEE/ASME Transactions on Mechatronics, 13(4), 2008, 451–460.
  23. [23] P. Raja and S. Pugazhenthi, On-line path planning for mobile robots in dynamic environments, Neural Network World, 22(1), 2012, 67–83.
  24. [24] Y. Gao and S.-D. Sun, Local path planning of mobile robots in dynamic unknown environment based on prediction of collision, 2009 Int. Conf. Measuring Technology and Mechatronics Automation, ICMTMA 2009, vol. 2, Zhangjiajie, Hunan, China, 2009, 84–88.
  25. [25] Y. Wang, I.P.W. Sillitoe, and D.J. Mulvaney, Mobile robot path planning in dynamic environments, Proceedings – IEEE Int. Conf. Robotics and Automation, Rome, Italy, 2007, 71–76.
  26. [26] L. Sun, Y. Luo, X. Ding, and L. Wu, Path planning and obstacle avoidance for mobile robots in a dynamic environment, Open Automation and Control Systems Journal, 6(1), 2014, 77–83. 423

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