Motion control design for unmanned ground vehicle in dynamic environment using intelligent controller

Article English OPEN
Al-Mayyahi, Auday Basheer Essa; Wang, William; Birch, Philip; Hussien, Alaa;
(2017)

The motion control of unmanned ground vehicles is essential in the industry of automation. In this paper, the sensors of a fuzzy inference system that is based on a navigation technique for an unmanned ground vehicle are formulated in a cluttered dynamic environment. Th... View more
  • References (22)
    22 references, page 1 of 3

    Al-Mayyahi, A., Wang, W. and Birch, P. (2014), “Adaptive Neuro-Fuzzy Technique for Autonomous Ground Vehicle Navigation”, Robotics, Multidisciplinary Digital Publishing Institute, Vol. 3 No. 4, pp. 349-370.

    Azouaoui, O., Ouadah, N., Mansour, I., Semani, A., Aouana, S. and Chabi, D. (2013), “Soft-computing based navigation approach for a bi-steerable mobile robot”, Kybernetes, Vol. 42 No. 2, pp. 241-267.

    Branson, J.S. and Lilly, J.H. (2001), “Incorporation, characterization, and conversion of negative rules into fuzzy inference systems”, IEEE Transactions on Fuzzy Systems, Vol. 9 No. 2, pp. 253-268.

    Cherni, F., Boutereaa, Y., Rekik, C. and Derbel, N. (2016), “Path Planning for mobile robots using fuzzy logic controller in the presence of static and moving obstacles”, The 3rd International Conference on Automation, Control, Engineering and Computer Science, pp. 503-509.

    Chi, K.-H. and Lee, M.-F.R. (2011), “Obstacle Avoidance in Mobile Robot using Neural Network”, The IEEE International Conference on Consumer Electronics, Communications and Networks, IEEE, Xianning, China, pp. 5082-5085.

    Cui, S., Su, X., Zhao, L., Bing, Z. and Yang, G. (2010), “Study on Ultrasonic Obstacle Avoidance of Mobile Robot Based on Fuzzy Controller”, The IEEE International Conference on Computer Application and System Modeling, IEEE, Tianjin, China, pp. 233-237.

    Deshpande, S.U. and Bhosale, S.S. (2013), “Adaptive neuro-fuzzy inference system based robotic navigation”, IEEE International Conference on Computational Intelligence and Computing Research, IEEE, Enathi, pp. 1-4.

    Dong, T., Liao, X.H., Zhang, R., Sun, Z. and Song, Y.D. (2005), “Path Tracking and Obstacle Avoidance of UAVs - Fuzzy Logic Approach”, The 14th IEEE International Conference on Fuzzy Systems, IEEE, Reno, NV, pp. 43-48.

    Driankov, D. and Saffiotti, A. (2001), Fuzzy Logic Techniques for Autonomous Vehicle Navigation, Physica-Verlag Heidelberg, New York.

    Hajar, S., Mohammad, A., Jeffril, M.A. and Sariff, N. (2013), “Mobile Robot Obstacle Avoidance By Using Fuzzy Logic Technique”, The 3rd IEEE International Conference on System Engineering and Technology, IEEE, Shah Alam, Malaysia, pp. 331-335.

  • Related Organizations (4)
  • Metrics
Share - Bookmark