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

页码：4750 / +

页数：2

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