Abstract
Mobile robots navigation is a broad topic, covering many different technologies and applications. It is possible to draw inspiration for robot navigation from vertebrates. Reviewing literature on vertebrates, it seems clear that they navigate by elaborating substantially two kinds of spatial information: geometric (environmental shape, distance from landmarks) and non geometric (colors, smells). In this paper we try to understand how these cues can be used by small populations of mobile robots in environments reproducing the main features of experimental settings used with vertebrates. The robots are controlled by neural networks, whose evolution determines robot navigation behaviour. We analyze how the artificial systems use these information, separately or jointly, and how is it possible to obtain mobile robots that exploit effectively geometric and non-geometric information to navigate in specific environments.
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Ponticorvo, M., Miglino, O. (2009). Navigation in Evolving Robots: Insight from Vertebrates. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_23
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DOI: https://doi.org/10.1007/978-3-642-10291-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10290-5
Online ISBN: 978-3-642-10291-2
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