Abstract
This paper describes the so-called RobSim robot control system software. RobSim is a hybrid system based on soft computing techniques and includes a genetic algorithm component, a fuzzy logic component, and a component utilizing features derived from chaos theory. The presented system is an extension of our previous work. A new component of the system exploits the principle of self-similarity found in chaos theory via so-called adaptive fuzzy sets for problem solving. Compared to earlier versions the current system provides increased functionality, adaptability, and flexibility, extending the problem solving potential of the system to a wider range of applications.
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Schuster, A. (2006). A Hybrid Robot Control System Based on Soft Computing Techniques. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_22
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DOI: https://doi.org/10.1007/11779568_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
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