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Implementation of the chaotic mobile robot for the complex missions

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EN
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EN
Mobile robotics, after decades of continuous development, keeps up as an intensive research issue because of its ever- increasing application to different domains and its economical and technological relevance. Interesting applications can be seen in robots performing floor-cleaning tasks, executing industrial transportation, exploring volcanoes, scanning areas to find explosive devices, and so on. a chaotic signal for an autonomous mobile robot is to increase and to take advantage of coverage areas resulting from its travelling paths. The chaotic behavior of the mobile robot is achieved by adding nonlinear equations into the robot kinematic equations, like Arnold, Lorenz, and Chua’s equations, that are well known equations for had a chaotic behavior. The performance of the three guiding signals for robotics system is evaluated in the sense of the wide area coverage, the evenness index, and the total trajectory distance.
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  • Assistant Professor, Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudia Arabia. His research interests are mainly in the area of tracking system, control, and robotics., ashraaf@tu.edu.sa
Bibliografia
  • [1] Y. Nakamura and A. Sekiguchi, „Chaotic mobile robot”, IEEE Transaction on Robotics and Automation, vol. 17, no. 6, 2001, pp. 898–904.
  • [2] A. Sekiguchi and Y. Nakamura, “The Chaotic mobile robot”. In: Proc. IEEE/RSJ. Int. Conf. Intelligent Robots and Systems, vol. 1, 1999, pp. 172-178.
  • [3] A. Jansri, K. Klomkarn, and P. Sooraksa, “Further investigation on trajectory of chaotic guiding signals for robotics system”. In: Proc. Int. Symp. Communication and Information Technology, 2004, pp. 1166-1170.
  • [4] A. Jansri, K. Klomkarn, and P. Sooraksa, “On comparison of attractors for chaotic mobile robots”. In: Proc. 30th Annual Conf. IEEE Industrial Electronics Society, IECON, vol. 3, 2004, pp. 2536-2541.
  • [5] C. Chanvech, K. Klomkarn, and P. Sooraksa, “Combined chaotic attractors mobile robots”. In: Proc. SICE-ICASE Int. Joint Conf., 2006, pp. 3079-3082.
  • [6] L. S. Martins-Filho, R. F. Machado, R. Rocha, and V. S. Vale, “Commanding mobile robots with chaos”. In: ABCM Symposium Series in Mechatronics, J. C. Adamowski, E. H. Tamai, E. Villani, and P. E. Miyagi (Eds.), vol. 1, ABCM, Rio de Janeiro, Brazil, 2004, pp. 40-46.
  • [7] S. Martins et al.”, Kinematic control of mobile robots to produce chaotic trajectories”, ABCM Symposium Series in Mechatronics, vol. 2, 2006, pp. 258-264.
  • [8] S. Martins et al., “Patrol Mobile Robots and Chaotic Trajectories”. In: Mathematical Problems in Engineering, vol. 2007, Article ID61543, 13 pages, 2007.
  • [9] J. Palacin, J. A. Salse, I. Valganon, and X. Clua, “Building a mobile robot for a floor-cleaning operation in domestic environments”, IEEE Transactions on Instrumentation and Measurement, vol. 53, no. 5, 2004, pp. 1418–1424.
  • [10] Pecora, L. M., and Carroll, T. L., “Driving systems with chaoticsignals”, The American Physical Society, vol. 44, no. 4, 1991, pp. 2374-2384.
  • [11] P. Sooraksa and K. Klomkarn, “No-CPU chaotic robots from classroom to commerce”. In: IEEE Circuits and Systems Mmagazine, 10.1109/MCAS, 2010, pp. 46-53.
  • [12] J. Nicolas et al., “A comparative analysis of evenness index sensitivity”, Int. Review Hydrobiology, vol. 88, no. 1, 2003, pp. 3-15.
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Bibliografia
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bwmeta1.element.baztech-article-BUJ8-0016-0006
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