Soccer-playing robots provide a good environment for the application of evolutionary algorithms. Among other problems, slipping wheels, changing friction values, and real-world noise are significant problems to be considered. This chapter demonstrates how artificial intelligence techniques such as Kohonen maps, genetic algorithms, and evolutionary-evolved neural networks, can compensate those effects. As soccer robots are physical entities, all adaptation algorithms have to meet realtime constraints.
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Prüter, S., Burchardt, H., Salomon, R. (2007). Evolutionary Design of a Control Architecture for Soccer-Playing Robots. In: Chahl, J.S., Jain, L.C., Mizutani, A., Sato-Ilic, M. (eds) Innovations in Intelligent Machines - 1. Studies in Computational Intelligence, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72696-8_8
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