Abstract
In order to have an autonomous robot, the robot must be able to navigate independently within an environment. Place cells are cells that respond to the environment the animal is in. In this paper we present a model of place cells based on Self Organising Maps. The aim of this paper is to show that localisation can be performed even without having a built in map. The model presented shows that the landmarks are selected without any human interference. After training, a robot can localise itself within a learnt environment.
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Chokshi, K., Wermter, S., Weber, C. (2003). Learning Localisation Based on Landmarks Using Self-Organisation. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_60
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DOI: https://doi.org/10.1007/3-540-44989-2_60
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