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Target Tracking with Distributed Robotic Macrosensors

Brian Shucker, John K. Bennett

Year
2006
Citations
28

Abstract

We have developed a novel control mechanism that deploys a large number of inexpensive robots as a distributed remote sensing array, called a distributed robotic macrosensor (DRM). This DRM has the capability to track targets of both a discrete (e.g., a vehicle) and diffuse (e.g., a chemical plume) nature. Attack resistance is an inherent property of the DRM as well. A relatively simple virtual spring mesh abstraction is used to provide fully distributed control that is both flexible and fault-tolerant. We describe the algorithms for spring mesh formation and control, discrete target tracking, and diffuse target tracking. We also present simulation results demonstrating the efficacy and robustness of DRMs

Keywords

Robustness (evolution)Computer scienceDistributed computingRobotTracking (education)Fault toleranceReal-time computingEmbedded systemArtificial intelligence

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