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Path Planning for Robotic Delivery Systems

Austen Brooks, Brandon Bryant, Chase Spoerer, Michael Lust, Shengkai Sam Xu, Yinfei Li, Nabila Nan BouSaba

发表年份
2022
引用次数
2

摘要

In this work we consider a path planning problem for our university campus. In particular, we deploy a modified version of Dijkstra's algorithm to find the shortest path faster. By appropriately sampling points (nodes) throughout the campus, we develop a directed graph representation of our campus. Open Street Map (OSM) was used to obtain the GPS locations of these points. While this constructed graph has a large number of nodes, we use a node-abstraction method to compress the graph to ensure that the time complexity of our algorithm is sufficiently reduced. Simulation results report the computation time saved due to the abstraction method.

关键词

Dijkstra's algorithmComputer scienceShortest path problemMotion planningGraphNode (physics)ComputationAbstractionPath (computing)Theoretical computer science

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