Open Access
MATEC Web Conf.
Volume 160, 2018
International Conference on Electrical Engineering, Control and Robotics (EECR 2018)
Article Number 06001
Number of page(s) 6
Section Intelligent Robot Design and Control
Published online 09 April 2018
  1. Z.W. Wang,G. Guo, Status and Prospect of mobile robot navigation technology. J. Robot. 25(5):470-474 (2003) [Google Scholar]
  2. J.G. Zhu, Y. Gao, K.J. Li, X.S. Gao. Indoor mobile robot in unknown environment to create the feature map of. J. Computer Measurement and Control. 19 (12): 3044-3046(2011) [Google Scholar]
  3. Y.M. Guo, S.R. Liu, B.T. Zhang. [J]. Journal of Ningbo University. J. 26(4):35-39(2013). [Google Scholar]
  4. P. Gaussier, S. Zrehen, Topological Neural Map For Online Learning - Emergence Of Obstacle Avoidance In A Mobile Robot. Z. BRIGHTON, ENGLAND:M I T PRESS, 55 HAYWARD ST, CAMBRIDGE, MA 02142 (1994) [Google Scholar]
  5. W. Yan, C. Weber, S. Wermter, A neural approach for robot navigation based on cognitive map learning. C. International Joint Conference on Neural Networks. IEEE. 1-8 (2012) [Google Scholar]
  6. D.S. Wang, H.T. Wang. University. Environment exploration and map building of autonomous robot in unknown environment. J. Journal of Zhengzhou. 45 (4): 52-57(2013) [Google Scholar]
  7. X.G. Ruan, J.X. Gao. Research on robot path planning in dynamic changes based on SOM diagram. J. Control Engineering. 20:61-68(2013) [Google Scholar]
  8. R.J. Alitappeh, GAS Pereira, A.R. LCA Araujo, Pimenta, Multi-robot Deployment using Topological Maps.J.JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS. 86(3-4):641-661 (2017) [CrossRef] [Google Scholar]
  9. H.P. Moravec, A. Elfes, High resolution maps from wide-angle sonar. Proceedings of the 1985 IEEE International Conference on Robotics and Automation. St.Louis USA:IEEE Press. 116-121 (1985) [CrossRef] [Google Scholar]
  10. K. Konolige, Improved Occupancy Grids for Map Building. J. Autonomous Robots. 4(4):351-367 (1997) [CrossRef] [Google Scholar]
  11. S. Thrun, D. Fox, F. Burgard, Probabilistic Mapping Of An Environment By A Mobile Robot.IEEE International Conference on Robotics and Automation, 1998. Proceedings. 1546-1551 (1998) [Google Scholar]
  12. Y. Zhuang, X.D. Xu, W. Wang. Construction and self localization of mobile robot geometry topological Hybrid Map. J. Control and Decision Making, 20 (7): 815-822(2005) [Google Scholar]
  13. S. Thrun, Learning metric-topological maps for indoor mobile robot navigation. J. Artificial Intelligence. 99(1):21-71 (1998) [CrossRef] [Google Scholar]
  14. T.C. Li, S.D. Sun, Y. Gao, Global path planning of mobile robot based on fan grid map.J.Robot. 32(4):547-552 (2010) [CrossRef] [Google Scholar]
  15. L.J. Guo, W.X. Shi, Y. Li, F.X. Li, Adaptive raster map creation algorithm based on four fork tree. J. Control and Decision Making. 26(11):1690-1694 (2011) [Google Scholar]
  16. Y. Duan, X.H. Xin, Navigation of Mobile Robot Based on Uncertain Grid Map. J. Control Theory&Applications .23(6):1009-1013 (2006) [Google Scholar]

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