Abstract
In this paper, we propose a novel navigation method combined limit-cycle method and the vector field method for navigating a mobile robot with avoiding unexpected obstacles in the dynamic environment. The limit-cycle method is applied to avoiding obstacles placed in front of the robot and the vector field method is applied to avoiding obstacles placed on the side of the robot. The proposed method is tested using Pioneer 2-DX mobile robot. Through both simulation and experiment, the effectiveness of proposed methods for navigating a mobile robot in the dynamic environment is demonstrated.
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References
Lefebvre, D., Saridis, G.: A Computer Architecture for Intelligent machines. In: Proceeding of the IEEE international Conference on Robotics and Automation, France, pp. 2245–2250 (1992)
Brook, R.: A Robust Layered Control System for a Mobile Robot. IEEE Journal of Robotics and Automation RA-2(1), 14–23 (1986)
Arkin, R.C.: Behavior Based Robotics. MIT Press, Cambridge (1988)
Borenstein, J., Koren, Y.: Real-time Obstacle Avoidance for Fast Mobile Robotics. IEEE Transactions on System, Man and Cybernetics 19(5), 1179–1187 (1989)
Kim, D.H., Kim, J.H.: A real-time limit-cycle navigation method for fast mobile robots and its application to robot soccer. The Robotics and Autonomous System 1 (2003)
Khalil, H.K.: Nonlinear Systems, ch. 7, 2nd edn., pp. 289–312. Prentice-Hall, Englewood Cliffs (1996)
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© 2006 Springer-Verlag Berlin Heidelberg
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Jie, M.S., Baek, J.H., Hong, Y.S., Lee, K.W. (2006). Real Time Obstacle Avoidance for Mobile Robot Using Limit-Cycle and Vector Field Method. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_104
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DOI: https://doi.org/10.1007/11892960_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
Online ISBN: 978-3-540-46536-2
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