Abstract
We present a novel approach for the tuning and assessment of a cascade of fuzzy logic systems, working cohesively for robot soccer navigation. We generate calibration maps to comprehensively examine the performance of the cascades, allowing for both the visualisation and quantification of the overall system performance. The experiments demonstrate how the proposed method captures the aggregate effect on system’s efficiency of even the slightest changes to the fuzzy rules. It also provides feedback on the mechanics of the fuzzy systems that could be held responsible for any shortcomings. Interestingly, without the aid of the proposed techniques, these minute changes are very difficult, if not impossible to identify through human visual inspection per se. Although the example provided in the paper reflects navigation in the Mirosot league robot soccer scope, the proposed calibration method lends itself amenable to other problem domains where target pursuit and obstacle avoidance behaviours are a necessity. It is also worth-noting that the calibration method can be utilised as a fitness function to a Genetic Algorithm or other optimisation techniques, for a fully-automated calibration. Lastly, we discuss how the calibrated cascade of fuzzy systems neatly integrate with the A* algorithm to produce a hybrid system for near-optimal navigation.
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References
Kim, J.H., Kim, K.C., Kim, D.H., Kim, Y.J., Vadakkepat, P.: Path planning and role selection mechanism for soccer robots. In: International Conference on Robotics and Automation (1998)
Patnaik, S.: Robot Cognition and Navigation: An Experiment with Mobile Robots. Springer (2007)
Park, J.-H., Stonier, D., Kim, J.-H., Ahn, B.-H., Jeon, M.-G.: Recombinant rule selection in evolutionary algorithm for fuzzy path planner of robot soccer. In: Freksa, C., Kohlhase, M., Schill, K. (eds.) KI 2006. LNCS (LNAI), vol. 4314, pp. 317–330. Springer, Heidelberg (2007)
Kim, J.H., Kim, Y.H., Choi, S.H., Park, I.W.: Evolutionary multi-objective optimization in robot soccer system for education. IEEE Computational Intelligence Magazine 2, 31–41 (2009)
Kim, J.H.: Federation of robot-soccer association, http://www.fira.net/
Garrido, S., Moreno, L., Blanco, D., Jurewicz, P.: Path planning for mobile robot navigation using voronoi diagram and fast marching. International Journal of Robotics and Automation 2, 154–176 (2011)
Linquan, Y., Zhongwen, L., Zhonghua, T., Weixian, L.: Path planning algorithm for mobile robot obstacle avoidance adopting belzier curve based on genetic algorithm. In: IEEE Chinese Control and Decision Conference, pp. 3286–3289 (2008)
Jayasiri, A., Mann, G., Gosine, R.: Behavior coordination of mobile robotics using supervisory control of fuzzy discrete event systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41, 1224–1238 (2011)
Calisi, D.: Mobile Robots and Vehicles Motion Systems: a unifying framework. PhD thesis, Sapienza Universita di Roma (2009)
Matia, F., Jimenez, A., Martinez, G.: Calibration of fuzzy control systems. In: Third IEEE Conference on Fuzzy Systems, Orlando, FL, pp. 7–12 (1994)
Gerdelan, A., Reyes, N.: A novel hybrid fuzzy a star robot navigation system for target pursuit and obstacle avoidance. In: 1st Korean-New Zealand Joint Workshop on Advance of Computational Intelligence Methods and Applications, pp. 75–79 (February 2006)
Gerdelan, A., Reyes, N.: Synthesizing adaptive navigational robot behaviours using a hybrid fuzzy a star approach. In: Reusch, B. (ed.) Computational Intelligence, Theory and Applications, pp. 699–710. Springer, Heidelberg (2006)
Gerdelan, A.P., Reyes, N.H.: Towards a generalised hybrid path-planning and motion control system with auto-calibration for animated characters in 3D environments. In: Köppen, M., Kasabov, N., Coghill, G. (eds.) ICONIP 2008, Part I. LNCS, vol. 5506, pp. 1079–1086. Springer, Heidelberg (2009)
Reyes, N., Barczak, A., Fatahillah, S.T.: A reconfigurable hybrid intelligent system for robot navigation. Research Letters in the Information and Mathematical Sciences 15, 21–34 (2011)
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Reyes, N.H., Barczak, A.L.C., Susnjak, T. (2013). Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_68
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DOI: https://doi.org/10.1007/978-3-642-37374-9_68
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