Bio-inspired model of robot adaptive learning and mapping

被引：3
|
作者：
Ramirez, Alejandra Barrera [1 ]
Ridel, Alfredo Weitzenfeld [1 ]
机构：
[1] ITAM, Dept Comp Engn, Robot & CANNES Labs, Mexico City, DF, Mexico
来源：
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12 | 2006年
关键词：
affordances; mapping; path integration; rat hippocampus; reinforcement learning;
D O I：
10.1109/IROS.2006.282344
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：4750 / +
页数：2
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