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Real time tracking of an omnidirectional robot - An extended Kalman filter approach

Title
Real time tracking of an omnidirectional robot - An extended Kalman filter approach
Type
Article in International Conference Proceedings Book
Year
2008
Authors
Goncalves, J
(Author)
Other
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Lima, J
(Author)
Other
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Paulo Gomes da Costa
(Author)
FEUP
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Conference proceedings International
Pages: 5-10
5th International Conference on Informatics in Control, Automation and Robotics
Funchal, PORTUGAL, MAY 11-15, 2008
Other information
Authenticus ID: P-004-3FF
Abstract (EN): 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.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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