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.

• Type: Conference
• Year: 2006
• Where: IROS
• Authors: Alejandra Barrera Ramirez, Alfredo Weitzenfeld Ridel
• Keywords: 8-arm Radial Maze, IROS 2006, Rat Hippocampus, Real Robot, Robotics