Jianfeng Zhang, Houyong Lv, Dongjian He, Lvwen Huang, Yuan Dai, and Zhiyong Zhang


  1. [1] C. Luo, S.X. Yang, and X. Yuan, Real-time area-covering operations with obstacle avoidance for cleaning robots, Proc. 2002 IEEE/RSJ International Conf. on Intelligent Robots and Systems EPFL, Lausanne, Switzerland, 2002, 2359–2364.
  2. [2] S.X. Li and J.C. Yang, Path planning algorithm for indoor cleaning robot, Computer Systems and Applications, 23(9), 2014, 170–172.
  3. [3] V. Digani, L. Sabattini, C. Secchi, and C. Fantuzzi, Ensemble coordination approach in multi-AGV systems applied to industrial warehouses, IEEE Transactions on Automation Science and Engineering, 12(3), 2015, 922–934.
  4. [4] M. Dakulovic and I. Petrovic, Complete coverage path planning of mobile robots for humanitarian demining, Industrial Robot – An International Journal, 39(5), 2012, 484–493.
  5. [5] I.A. Hameed, D. Bochtis, and C.A. Sorensen, An optimized field coverage planning approach for navigation of agricultural robots in fields involving obstacle areas, International Journal of Advanced Robotic Systems, 10(3), 2013, 119–134.
  6. [6] J. Ni, L. Wu, X. Fan, and S.X. Yang, Bioinspired intelligent algorithm and its applications for mobile robot control: A survey, Computational Intelligence and Neuroscience, 2016(2), 2016, 1–16.
  7. [7] S.X. Yang and C. Luo, A neural network approach to complete coverage path planning, IEEE Transactions on Systems Man and Cybernetics Part B – Cybernetics, 34(1), 2004, 718–725.
  8. [8] X.N. Qiu, S.R. Liu, J.T. Song, and S.X. Yang, A complete coverage path planning method for mobile robots in uncertain dynamic environments, Robot, 28(6), 2006, 586–592.
  9. [9] Y. Guo and M. Balakrishnan, Complete coverage control for nonholonomic mobile robots in dynamic environments. Proc. IEEE International Conf. on Robotics and Automation, Orlando, FL, USA, 2006, 1704–1709
  10. [10] C. Luo and S.X. Yang, A bioinspired neural network for realtime concurrent map building and complete coverage robot navigation in unknown environments, IEEE Transactions on Neural Networks, 19(7), 2008, 1279–1298.
  11. [11] B. Zhu, Z.M. Wang, and Z.L. Liu, A biological inspired neural network approach to robot path planning in unknown environment, Applied Mechanics and Materials, 602–605, 2014, 1399–1402. 192
  12. [12] J. Ni and S.X. Yang, Bioinspired neural network for realtime cooperative hunting by multirobots in unknown environments, IEEE Transactions on Neural Networks, 22(12), 2011, 2062–2077.
  13. [13] B. Sun, D. Zhu, and S.X. Yang, A bio-inspired cascaded approach for three-dimensional tracking control of unmanned underwater vehicles, International Journal of Robotics and Automation, 29(4), 2014, 349–358.
  14. [14] Z.Y. Lv and J.T. Cao, Robot path planning method based on biologically incentives neural network with self-feedback, Computer Engineering and Applications, 50(16), 2014, 255–258.
  15. [15] A.M. Zhu and Z. Ming, The algorithms of target tracking based on neural dynamic, Journal of Shenzhen University Science and Engineering, 26(3), 2009, 283–288.
  16. [16] L.W. Huang, Visual recognition and path planning method for apple picking robot, Doctoral Dissertation, Northwest A&F University, Yangling, China, 2013.
  17. [17] S.X. Yang and M. Meng, Neural network approaches to dynamic collision-free trajectory generation, IEEE Transactions on Systems Man and Cybernetics Part B – Cybernetics, 31(3), 2001, 302–318.
  18. [18] M.N. Nasrabadi and Y.S. Feng, Vector quantization of images based upon the Kohonen self-organizing feature maps, IEEE International Conf. on Neural Networks, New York, USA, 1998, 101–108.
  19. [19] Y. Xin, H.W. Liang, T. Mei, et al., A new dynamic obstacle collision avoidance system for autonomous vehicles, International Journal of Robotics and Automation, 30(3), 2015, 278–288.
  20. [20] J.J. Ni, X.F. Yang, J.F. Chen, and S.X. Yang, Dynamic bioinspired neural network for multi-robot formation control in unknown environments, International Journal of Robotics and Automation, 30(3), 2015, 256–266.
  21. [21] A.R. Willms and S.X. Yang, An efficient dynamic system for real-time robot-path planning, IEEE Transactions on Systems Man and Cybernetics Part B – Cybernetics, 36(4), 2006, 755–766.
  22. [22] C.D. Richard and H.B. Robert, Modern control system, 10th ed. (New York, NY: Pearson Education, 2005, 729–740).

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