Abstract
This paper addresses autonomous navigation and escape from pursuers by using a bio-inspired path planning approach that combines the notions of refuge and proteanism with popular potential functions in a grid based setting. The whole proposed design is divided into: a bio-inspired analysis of the environment that computes local goals (possible bio-inspired refuges or remote locations), potential functions over a grid, and bio-inspired proteanism through subgoals; and path planning with updates of the environment. Experiments show the differences of paths created by classic steepest descent search towards a local goal, or by using different subgoals along the way, and the improvement of the avoidance of capture from the latter.
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References
Caro, T.: Antipredator defenses in birds and mammals. The University of Chicago Press (2005)
Choset, H., Lynch, K., Hutchinson, S., Kantor, G., Burgard, W., Kavraki, L., Thrun, S.: Principles of robot motion. Theory, algorithms and implementations. MIT Press (2005)
Araiza-Illan, D., Dodd, T.: Biologically inspired controller for the autonomous navigation of a mobile robot in an evasion task. World Academy of Science, Engineering and Technology 68, 780–785 (2010)
Floreano, D., Nolfi, S.: Adaptive behavior in competing co-evolving species. In: Proceedings of the Fourth European Conference on Artificial Life, pp. 378–387. MIT Press (1997)
Furuichi, N.: Dynamics between a predator and a prey switching two kinds of escape motions. Journal of Theoretical Biology 217, 159–166 (2002)
Anderson, A., McOwan, P.: Model of a predatory stealth behaviour camouflaging motion. Proceedings of the Royal Society B: Biological Sciences 270, 489–495 (2003)
Ravela, S., Weiss, R., Draper, B., Pinette, B., Hanson, A., Riseman, E.: Stealth navigation: planning and behaviors. In: Proceedings of the ARPA Image Understanding Workshop, pp. 1093–1100 (1994)
Birgersson, E., Howard, A., Sukhatme, G.: Towards stealthy behaviors. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1703–1708 (2003)
Masoud, A.A.: Evasion of multiple, intelligent pusuers in a stationary, cluttered environment using a Poisson potential field. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 4234–4239 (2003)
Amin, S., Rodin, E., Meusey, M., Cusick, T., Garcia Ortiz, A.: Evasive adaptive navigation and control against multiple pursuers. In: Proceedings of the American Control Conference, vol. 3, pp. 1453–1457 (1997)
Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots. The International Journal of Robotics Research 5(1), 90–98 (1986)
Hwang, Y., Ahuja, N.: Gross motion planning - a survey. ACM Computing Surveys 24(3), 219–291 (1992)
Lee, J., Nam, Y., Hong, S.: Random force based algorithm for local minima escape of potential field method. In: Proceedings of the International Conference on Control, Automation, Robotics and Vision, pp. 827–832 (2010)
Eiter, T., Mannila, H.: Computing discrete fréchet distance. Technical report, Technical University of Vienna, Department of Computer Science (1994)
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Araiza-Illan, D., Dodd, T.J. (2012). Bio-inspired Autonomous Navigation and Escape from Pursuers with Potential Functions. In: Herrmann, G., et al. Advances in Autonomous Robotics. TAROS 2012. Lecture Notes in Computer Science(), vol 7429. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32527-4_8
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DOI: https://doi.org/10.1007/978-3-642-32527-4_8
Publisher Name: Springer, Berlin, Heidelberg
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