Autonomous robotics self-localization using genetic algorithms

Fernando Gutierrez, John Atkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this work, a new approach for robotics self-location using constrained genetic algorithms is proposed. The model uses a location estimation stage based on Kalman filters so as to redefine the search space and finds the most accurate current position of a robot. Experiments show the promise of the method to predict for robotic applications.

Original languageEnglish
Title of host publicationICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence
Pages167-170
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009 - Newark, NJ, United States
Duration: 2 Nov 20095 Nov 2009

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409

Conference

Conference21st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2009
Country/TerritoryUnited States
CityNewark, NJ
Period2/11/095/11/09

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