Vision-based Mobile Robot Map Building and Environment Fuzzy Learning

被引：1

作者：

Al Muteb, Khaled ^{[1
]}

机构：

[1] King Saud Univ, Coll Comp & Informat Sci, POB 51178, Riyadh, Saudi Arabia

来源：

PROCEEDINGS FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2014年

关键词：

Neuro-fuzzy; SLAM; Visual Navigation; KSU-IMR; NAVIGATION;

D O I：

10.1109/ISMS.2014.155

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article describes an AI related procedure to learn the environment and the navigation map for the KSU-IMR (King Saud University-Intelligent Mobile Robotic) system. Beforehand, navigation was routed based wholly on the mobile visual sensory inputs (3D vision). After learning, the mobile robot undertakes the most suitable action while navigating, this is after it found the most suitable route after learning the navigation map. Successful computer routines are used to serve such purposes, resulting on learning maps of occupancy grids while relying on stereo vision SLAM based navigation.

引用

页码：43 / 48

页数：6

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