Extending Fuzzy Directional Relationship and Applying for Mobile Robot Collision Avoidance Behavior
Long Thanh Ngo*, Long The Pham*, Phuong Hoang Nguyen**,
and Kaoru Hirota***
*Center of Simulation Technology, Le Quy Don Technical University, 100-Hoang Quoc Viet Rd., Cau Giay Dist., Hanoi, Vietnam
**Center of Health Information Technology, Ministry of Health, 3-Phuong Mai St., Dong Da Dist., Hanoi, Vietnam
***Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Modori-ku, Yokohama 226-8502, Japan
Fuzzy directional relationship is extended from crisp spatial relationship and applied for many problems as image processing, scene description. This paper deals with fuzzy directional relationship and proposes an approach to extend fuzzy directional relation for robot navigation based on behavior. Fuzzy directional relation is used to model the unknown environment perceived by mobile robot. Collision avoidance behavior is built for mobile robot to avoid obstacles based on fuzzy logic controller whose inputs are fuzzy relationship and range to obstacle. The simulated results on graphic environment are showed to demonstrate our approach.
and Kaoru Hirota, “Extending Fuzzy Directional Relationship and Applying for Mobile Robot Collision Avoidance Behavior,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.4, pp. 444-450, 2006.
-  C. Fayad, and P. Webb, “Optimized Fuzzy Logic Based Algorithm for a Mobile Robot Collision Avoidance in an Unknown Environment,” 7th European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, 1999.
-  Y. Nojima, N. Kubota, F. Kojima, and T. Fukuda, “Control of Behavior Dimension for Mobile Robots,” The Fourth Asian Fuzzy Systems Symposium, Tsukuba, Japan, pp. 652-657, 2000.
-  J. Fleicher, and S. Marsland, “Learning to Autonomously Select Landmarks for Navigation and Communication,” Robotics and Autonomous System, 37(4), pp. 241-260, 2001.
-  I. Bloch, and A. Saffiotti, “On the Representation of Fuzzy Spatial Relations in Robot Maps,” Intelligent Systems for Information Processing, Elsevier, NL, pp. 47-57, 2003.
-  P. Matsakis, and L. Wendling, “A New Way to Represent the Relative Position between Areal Objects,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.21, No.7, pp. 634-643, 1999.
-  M. Skubic, G. Chronis, P. Matsakis, and J. Keller, “Generating Linguistic Spatial Descriptions from Sonar Readings Using the Histogram of Forces,” Proceedings of ICRA’2001 (IEEE Int. Conf. on Robotics and Automation), Vol.1, pp. 485-490, 2001.
-  P. Matsakis, J. Keller, and L. Wendling, “F-Histograms and Fuzzy Directional Spatial Relations,” LFA’99 (Conference on Fuzzy Logic and Its Applications), Valenciennes, Vol.1, pp. 207-213, 1999.
-  P. Matsakis, J. M. Keller, L. Wendling, J. Marjamaa, and O. Sjahputera, “Linguistic Description of Relative Positions in Images,” IEEE Trans. on System, Man and Cybernetics-Part B:Cybernetics, Vol.31, No.4, 2001.
-  V. Setalaphruk, A. Ueno, I. Kume, Y. Kono, and M. Kidode, “Robot Navigation in Corridor Environments using a Sketch Floor Map,” The 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 552-557, 2003.
-  A. Fukayama, M. Ida, and O. Katai, “Behavior-based Fuzzy Control Sytem for a Mobile Robot with Environment Recognition by Sensory-Motor Coordination,” Proceedings of IEEE International Fuzzy System Conference, Seoul, Korea, Vol.1, pp. 105-110, 1999.
-  M. Skubic, C. Bailey, S. Blisard, G. Chronis, C. Huggard, R. Luke, G. Scott, and M. Williams, “Guinness Phase I,” Technical Report, CECS Dept., Univ. of Missouri-Columbia, June 20, 2003.
-  J. M. Keller, and X. Wang, “A Fuzzy Rule-based Approach for Scene description Involving Spatial Relationship,” Computer Vision and Image Understanding, 2000.
-  K.-M. Lee, “Bipolar Fuzzy Sets and Their Basic Operations,” Proc. of International Conference on Intelligent Technologies, InTech 2000, Bangkok, Thailand, 2000.
-  H. Hagras, V. Callaghan, and M. Colley, “Outdoor Mobile Robot Learning and Adaptation,” IEEE Robotics and Automation Magazine, pp. 53-69, 2001.
-  M. O. Franz, and H. A. Mallot, “Biomimetic robot navigation,” Robotics and Autonomous Systems, Vol.30, pp. 133-153, 2000.
-  F. Hoffman, “Soft Computing Techniques for the Design of Mobile Robot Behaviors,” Information Science, University of California, Berkeley, USA, 1994.