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Autonomous Robot System for Sensor Characterization

David J. Bruemmer, Douglas A. Few, Frank Carney, Miles Walton, Heather Hunting, Ron Lujan

Year
2004
Citations
2
Access
Open access

Abstract

Abstract – This paper discusses an innovative application of new Markov localization techniques that combat the problem of odometry drift, allowing a novel control architecture developed at the Idaho National Engineering and Environmental Laboratory (INEEL) to be utilized within a sensor characterization facility developed at the Remote Sensing Laboratory (RSL) in Nevada. The new robotic capability provided by the INEEL will allow RSL to test and evaluate a wide variety of sensors including radiation detection systems, machine vision systems, and sensors that can detect and track heat sources (e.g. human bodies, machines, chemical plumes). By accurately moving a target at varying speeds along designated paths, the robotic solution allows the detection abilities of a wide variety of sensors to be recorded and analyzed. I.

Keywords

Computer scienceRobotArtificial intelligenceCharacterization (materials science)OdometryRemote sensingReal-time computingComputer visionSystems engineeringMobile robot

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