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Robot Localization Using Overhead Camera and LEDs

Emmanuel Johnson, Edwin Olson, Chutima Boonthum-Denecke

Year
2012
Citations
6

Abstract

Determining the position of a robot in an environment, termed localization, is one of the challenges facing roboticist. Localization is essential to solving more complex problems such as locomotion, path planning and environmental learning. Our lab is developing a multi agent system to use multiple small robots to accomplish tasks normally completed by larger robots. However, because of the reduced size of these robots, methods previously used to determine the position of the robot, such as GPS, cannot be employed. The problem we are facing is that we need to be able to determine the position of each of the robots in this multi agent system simultaneously. We have developed a system to help track and identify robots using an overhead camera and LEDs, mounted on the robots, to efficiently solve the localization problem.

Keywords

RobotOverhead (engineering)Computer scienceMobile robotGlobal Positioning SystemArtificial intelligencePath (computing)Track (disk drive)Motion planningPosition (finance)

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