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Localization and position correction for mobile robot using artificial visual landmarks

Kimihiro Okuyama, Tohru Kawasaki, Valeri Kroumov

Year
2011
Citations
18

Abstract

This paper presents some preliminary results about improving the precision in localization and position correction of mobile robot. The visual simultaneous localization and mapping (vSLAM®) algorithm is used for robot navigation. Artificial landmarks are used to improve the positioning of the robot. Experimental results show that, compared to other techniques, the proposed method has several advantages and can improve the robot localization and position calibration when vSLAM algorithm is used.

Keywords

Computer visionMobile robotArtificial intelligencePosition (finance)Computer scienceRobotSimultaneous localization and mappingCalibrationMobile robot navigationRobot control

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