SWARM
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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