Sliding Mode Based Behavior Control
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Sliding Mode Based Behavior Control

Authors: Selim Yannier, Asif Sabanovic, Ahmet Onat, Muhammet Bastan

Abstract:

In this work, we suggested a new approach for the control of a mobile robot capable of being a building block of an intelligent agent. This approach includes obstacle avoidance and goal tracking implemented as two different sliding mode controllers. A geometry based behavior arbitration is proposed for fusing the two outputs. Proposed structure is tested on simulations and real robot. Results have confirmed the high performance of the method.

Keywords: Autonomous Mobile Robot, Behavior Based Control, Fast Local Obstacle Avoidance, Sliding Mode Control.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076600

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References:


[1] R. C. Arkin, Behavior-based robotics. Cambridge, Mass.: MIT Press, 1998.
[2] J. Ferber, Multi-agent systems: an introduction to distributed artificial intelligence. Harlow, Eng.: Addison-Wesley, 1999.
[3] W. L. Xu and S. K. Tso, "Sensor-Based Fuzzy Reactive Navigation of a Mobile Robot Through Local Target Switching," IEEE Trans. on Systems, Man and Cybernetics, Part C, vol. 29, pp. 451-459, 1999.
[4] R. A. Brooks, "A robust layered control system for a mobile robot," MIT Artificial Intelligence Laboratory, Massachusetts A.I. Memo 864, Sep. 1985.
[5] K.-T. Song and C. C. Chang, "Reactive navigation in dynamic environment using a multisensor predictor," IEEE Trans. on Systems, Man and Cybernetics, Part B, vol. 29, pp. 870-880, 1999.
[6] R. A. Brooks, Cambrian intelligence: the early history of the new A.I. Cambridge, Mass.: MIT Press, 1999.
[7] A. Steinhage and R. Schoner, "The dynamic approach to autonomous robot navigation," presented at IEEE Int. Symp. on Industrial Electronics, ISIE' 97, 1997.
[8] E. Tunstel and M. Jamshidi, "Fuzzy logic and behavior control strategy for autonomous mobile robot mapping," presented at IEEE World Congress on Computational Intelligence, Third IEEE Conf. on Fuzzy Systems, 1994.
[9] N. C. Tsourveloudis, K. P. Valavanis, and T. Hebert, "Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic," IEEE Trans. on Robotics and Automation, vol. 17, pp. 490-497, 2001.
[10] R. C. Luo and T. M. Chen, "Development of a multi-behavior based mobile robot for remote supervisory control through the Internet," IEEE/ASME Trans. on Mechatronics, vol. 5, pp. 376 -385, 2000.
[11] T. M. Chen and R. C. Luo, "Development and integration of multiple behaviors for autonomous mobile robot navigation," presented at Proc. of the 24th Annual Conf. of the IEEE Industrial Electronics Society, IECON '98, 1998.
[12] L. E. Parker, "A performance-based architecture for heterogeneous, situated agent cooperation," presented at AAAI Workshop on Cooperation Among Heterogeneous Intelligent Systems, 1992.
[13] R. C. Arkin, T. Balch, and E. Nitz, "Communication of behavioral state in multi-agent retrieval tasks," presented at IEEE Int. Conf. on Robotics and Automation, 1993.
[14] D. Eustace, D. P. Barnes, and J. O. Gray, "A behavior synthesis architecture for co-operant mobile robot control," presented at Int. Conf. on Control, Control '94, 1994.
[15] M. Schneider-Fontan and M. J. Mataric, "Territorial multi-robot task division," IEEE Trans. on Robotics and Automation, vol. 14, pp. 815- 822, 1998.
[16] C. Ma, W. Li, and L. Liu, "Mobile robot motion by integration of lowlevel behavior control and high level global planning," presented at IEEE Int. Conf. on Systems, Man and Cybernetics, 1996.
[17] S. S. Ge and Y. J. Cui, "New potential functions for mobile robot path planning," IEEE Trans. on Robotics and Automation, vol. 16, pp. 615- 620, 2000.
[18] S. Yannier, "Realization of Reactive Control for Multi Purpose Mobile Agents," in Electronics Eng. and Comp. Sciences. Istanbul: Sabanci University, 2002, pp. 107.
[19] O. Khatib, "Real-time obstacle avoidance for manipulators and mobile robots," presented at IEEE Int. Conf. on Robotics Automation, St. Louis, MO, 1985.
[20] J. Borenstein and K. Y., "The Vector Field Histogram-Fast obstacle avoidance for mobile robots," IEEE Transactions on Robotics & Automation, vol. 7, pp. 278-287, 1991.
[21] J. Guldner and V. I. Utkin, "Sliding Mode Control for Gradient Tracking and Robot Navigation Using Artificial Potential Fields," IEEE Trans. on Robotics and Automation, vol. 11, pp. 247-254, 1995.