Online robot tracking using genetic algorithms

Online robot tracking using genetic algorithms

This paper presents the applicability of using genetic algorithm (GA) for robot tracking inside a predefined environment in real time. GA is used to determine the position of a moving robot inside the soccer robot field. A proposed new crossover algorithm is presented. A video file and an image cont...

Full description

Saved in:
Bibliographic Details
Main Authors: Barrido, Shirley C., Dadios, Elmer P.
Format: text
Published: Animo Repository 2002
Subjects:
Automatic tracking
Robots
Genetic algorithms
Manufacturing
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3367
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-4369
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-43692021-09-06T08:59:59Z Online robot tracking using genetic algorithms Barrido, Shirley C. Dadios, Elmer P. This paper presents the applicability of using genetic algorithm (GA) for robot tracking inside a predefined environment in real time. GA is used to determine the position of a moving robot inside the soccer robot field. A proposed new crossover algorithm is presented. A video file and an image containing the robot's physical appearance (robot template) are inputs to the system. Experimental results show that GA is able to locate the robot. 2002-12-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3367 Faculty Research Work Animo Repository Automatic tracking Robots Genetic algorithms Manufacturing
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Automatic tracking
Robots
Genetic algorithms
Manufacturing
spellingShingle Automatic tracking
Robots
Genetic algorithms
Manufacturing
Barrido, Shirley C.
Dadios, Elmer P.
Online robot tracking using genetic algorithms
description This paper presents the applicability of using genetic algorithm (GA) for robot tracking inside a predefined environment in real time. GA is used to determine the position of a moving robot inside the soccer robot field. A proposed new crossover algorithm is presented. A video file and an image containing the robot's physical appearance (robot template) are inputs to the system. Experimental results show that GA is able to locate the robot.
format text
author Barrido, Shirley C.
Dadios, Elmer P.
author_facet Barrido, Shirley C.
Dadios, Elmer P.
author_sort Barrido, Shirley C.
title Online robot tracking using genetic algorithms
title_short Online robot tracking using genetic algorithms
title_full Online robot tracking using genetic algorithms
title_fullStr Online robot tracking using genetic algorithms
title_full_unstemmed Online robot tracking using genetic algorithms
title_sort online robot tracking using genetic algorithms
publisher Animo Repository
publishDate 2002
url https://animorepository.dlsu.edu.ph/faculty_research/3367
_version_ 1767195891307905024

Similar Items