Abstract
An intelligent mobile robot must have the ability to move autonomously in complex environments. Achieving this mission using classical paradigms requires a sophisticated perception of the environment and a high computational load. In this chapter, we present an autonomous navigation system based on supervised learning applied to a mobile robot equipped with ultrasonic sensors. The robot will be trained and tested in several environments of different complexity. The test results showed the effectiveness of the proposed navigation system.
T. Jarou, A. Waga, Y. El Koudia, S. El Idrissi1 and S. Loumiti—These authors contributed equally to this work.
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Abdouni, J., Jarou, T., Waga, A., El koudia, Y., El Idrissi, S., Loumiti, S. (2023). A New Autonomous Navigation System of a Mobile Robot Using Supervised Learning. In: Adadi, A., Motahhir, S. (eds) Machine Intelligence for Smart Applications. Studies in Computational Intelligence, vol 1105. Springer, Cham. https://doi.org/10.1007/978-3-031-37454-8_9
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