DocumentCode
3187720
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
fYear
2006
fDate
9-15 Oct. 2006
Firstpage
4750
Lastpage
4755
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IROS.2006.282344
Filename
4059168
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