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Geometry Considerations in the Routing of Automated Guided Vehicles

机译:自动导引车路由中的几何考虑

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Most research in the routing of AGVs assumes that in relation to the rest of thenetwork the AGV can be represented as a point. In this paper we consider the case where this assumption is violated either because the loads carried are very large or because the AGV itself is relatively large. We use a configuration space approach for local path planning and a labeling algorithm for global planning of routes. The presence of guidepaths induces the local planning problem to a shortest path problem with time windows. We also present computational experience with the algorithm on randomly generated test problems. The results indicate that the algorithm is computationally efficient.

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