Bio-inspired Model of Robot Adaptive Learning and Mapping

In this paper we present a model designed on the basis of the neurophysiology of the rat hippocampus to control the navigation of a real robot. The model allows the robot to learn reward locations dynamically moved in different environments, to build a topological map, and to return home autonomously. We describe robot experimentation results from our tests in a T-maze, an 8-arm radial maze and an extended maze

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