Abstract
In this paper, a data-driven fuzzy approach is developed for solving the motion planning problem of a mobile robot in the presence of moving obstacles. The approach consists of using a recent data-driven fuzzy controller modeling algorithm, and a devised general method for the derivation of input- output data to construct a fuzzy logic controller off-line. The constructed FLC can then be used on-line by the robot to navigate among moving obstacles. The novelty in the presented approach, as compared to the most recent fuzzy ones, stems from its generality. That is, the devised data-derivation method enables the construction of a single FLC to accommodate a wide range of scenarios. Also, care has been taken to find optimal or near optimal FLC solution in the sense of leading to a sufficiently small robot travel time and collision-free path between the start and target points.
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References
Fujimura, K., Samet, H.: A Hierarchical Strategy for Path Planning Among Moving Obstacles. IEEE Trans. Robotics and Automation, 5(1), (1989) 61–69.
Griswold, N.C.,. Eem, J.: Conrtol for Mobile Robots in the Presence of Moving Objects. IEEE Trans. Robotics and Automation, 6(2), (1990) 263–268.
Lamadrid, J.G. Avoidance of Obstacles with Unknown Trajectories: Locally Optimal Paths and Periodic Sensor Readings. Int.J. Robotics Res., (1994) 496–507.
Fiorini, P., Shiller, Z.: Motion Planning in Dynamic Environments Using the Relative Velocity Paradigm. Proc. IEEE Conference on Robotics and Automation, (1993) 560–565.
Barraquand, J. Langlois, B. Latombe, J.C.: Numerical Potential Field Techniques for Robot Path Planning. IEEE Trans. Syst., Man and Cybern. 22 (1992) 224–241.
Donnart, J.Y., Meyer, J.A.: Learning Reactive and Planning Rules in a Motivationally Autonomous Animat. IEEE Trans. Syst., Man and Cybern. B, 26(3) (1996) 381–395.
Floreano, D., Mondada, F.: Evolution of Homing Navigation in a Real Mobile Robot. IEEE Trans. Syst. Man and Cybern. B, 26(3), (1996) 396–407.
Matinez, A. et al., Fuzzy Logic Based Collision Avoidance for a Mobile Robot. Robotica, 12, (1994) 521–527.
Pin, F.G., Watanabe, Y. Navigation of Mobile Robots Using a Fuzzy Behaviorist Approach and Custom-Designed Fuzzy Inferencing Boards. Robotica, 12, (1994) 491–503.
Beaufrere, B., Zeghloul, S.: A Mobile Robot Navigation Method Using a Fuzzy Logic Approach. Robotica, 13, (1995) 437–448.
Pratihar, D.K., Deb, K., Ghosh, A.: A Genetic-Fuzzy Approach for Mobile Robot Navigation Among Moving Obstacles. Int. J. Approximate Reasoning, 20, (1999) 145–172.
Saade, J.J.: A New Algorithm for the Design of Mamdani-Type Fuzzy Controllers. Proc. EUSFLAT-ESTYLF Joint Conf., Palma de Mallorca, Spain, Sept. 22–25, 1999, 55–58.
J.J. Saade, A Unifying Approach to Defuzzification and Comparison of the Outputs of Fuzzy Controllers. IEEE Trans. Fuzzy Systems, 4(3) (1996) 227–237.
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Mohannad, AK., Saade, J.J. (2000). A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles. In: Leung, K.S., Chan, LW., Meng, H. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents. IDEAL 2000. Lecture Notes in Computer Science, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44491-2_17
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DOI: https://doi.org/10.1007/3-540-44491-2_17
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