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SLAM for mobile robot based on interactive GUI

Songmin Jia, Hao Yang, Xiuzhi Li, Wei Fu

Year
2010
Citations
5

Abstract

As we all know that, SLAM (Simultaneous Localization and Mapping) are vital for mobile robot. This paper presents a method of map building using interactive GUI (Graphical User Interface) for an indoor service mobile robot because of the uncertainty of the sensors. What's more, the operator can modify the map compared with the real-time video from the web camera of the mobile robot. In the proposed system, EKF (Extended Kalman Filter) was used to improve the precision of self-localization of the mobile robot. This paper also introduces the architecture of the proposed system and gives some experimental results.

Keywords

Mobile robotComputer scienceSimultaneous localization and mappingComputer visionGraphical user interfaceRobotMobile robot navigationExtended Kalman filterArtificial intelligenceKalman filter

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