Authors:
José Gonçalves
1
;
José Lima
1
and
Paulo Costa
2
Affiliations:
1
Polytechnic Institute of Bragança, Portugal
;
2
Deec, Faculty of Engineering of the University of Porto, Portugal
Keyword(s):
Probabilistic robotics, Kalman Filter, Omnidirectional robots.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Mobile Robots and Autonomous Systems
;
Robot Design, Development and Control
;
Robotics and Automation
Abstract:
This paper describes a robust localization system, similar to the used by the teams participating in the Robocup Small size league (SLL). The system, developed in Object Pascal, allows real time localization and control of an autonomous omnidirectional mobile robot. The localization algorithm is done resorting to odometry and global vision data fusion, applying an extended Kalman filter, being this method a standard approach for reducing the error in a least squares sense, using measurements from different sources.