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Physical Path Planning Using the GNATs

Keith J. O’Hara, V.L. Bigio, E.R. Dodson, Aref Jalili Irani, D. B. Walker, Tucker Balch

Year
2006
Citations
20

Abstract

We continue our investigation into the application of pervasive, embedded networks to support multi-robot tasks. In this work we use a new a hardware platform, the GNATs, to aid in path planning. We have implemented a physical path planning algorithm on the GNATs previously studied in simulation. A distributed version of the wavefront path planning algorithm is used to propagate paths throughout the network, thereby planning a path in the real world. This creates a graph of traversable paths that are nearly optimal in a dynamic environment.

Keywords

Motion planningPath (computing)Computer scienceAny-angle path planningGraphRobotDistributed computingReal-time computingArtificial intelligenceTheoretical computer science

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