首页 /研究 /A Computer Vision System based on Multi-Layer Perceptrons for Controlling Mobile Robots
PERCEPTION

A Computer Vision System based on Multi-Layer Perceptrons for Controlling Mobile Robots

Marcos G. Quiles, Roseli Aparecida Francelin Romero

发表年份
2005
引用次数
8

摘要

Computer Vision System (CVS) is an important tool for robot navigation. In this paper, a CVS is proposed for controlling mobile robots which is based on Multi-Layer Neural Networks. This system is constituted by two main modules: vision module and navigation control module. The first module processes images that can contain several objects with different colors, returning the position of one of these objects, which corresponds to a given color. The control module utilizes the results obtained from the vision module providing the robot the action to be performed. The aim of the proposed system is to enable a robot to navigate in an environment following a color object and avoiding obstacles. Some experiments in a real environment with the robot Pioneer I are presented to show the good performance of proposed system.

关键词

Artificial intelligenceComputer visionMobile robotRobotComputer scienceMobile robot navigationObject (grammar)Machine visionPerceptronLayer (electronics)

相关论文

查看 PERCEPTION 分类全部论文