Title :
Bio-inspired Model of Robot Adaptive Learning and Mapping
Author :
Ramirez, Alejandra Barrera ; Ridel, Alfredo Weitzenfeld
Author_Institution :
Dept. of Comput. Eng., Institute Tecnologico Autonomo de Mexico, Mexico City
Abstract :
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
Keywords :
SLAM (robots); adaptive systems; learning (artificial intelligence); neurophysiology; path planning; robots; topology; adaptive mapping; bio-inspired model; neurophysiology; rat hippocampus; reward locations; robot adaptive learning; topological map; Animals; Biological system modeling; Hippocampus; Intelligent robots; Navigation; Neurophysiology; Path planning; Robot kinematics; Simultaneous localization and mapping; Testing; Affordances; mapping; path integration; rat hippocampus; reinforcement learning;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.282344
