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Localisation and position correction for mobile robot using artificial visual landmarks

Valeri Kroumov, Kimihiro Okuyama

Year
2012
Citations
8

Abstract

This paper presents some preliminary results in terms of improving the precision in localisation and position correction of mobile robot. The visual simultaneous localisation and mapping (vSLAMr) 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 localisation and position calibration when vSLAM algorithm is used.

Keywords

Computer visionPosition (finance)Artificial intelligenceMobile robotRobotComputer scienceCalibrationMobile robot navigationRobot controlMathematics

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