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A Path Planning Method to Robot Soccer Based on Dijkstra Algorithm

机译:基于Dijkstra算法的机器人足球路径规划方法。

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As a typical and very challenging multi-agent system, Robot Soccer System is considered by many researchers as an ideal research platform for multi-agent system, and its purpose is to study multi-robot (or agent) in a complex dynamic environment and multiple constraints, the completion of multi-task and multi-target for real-time reasoning and planning techniques which has far-reaching significance for the future society. Dijkstra algorithm is the most typical short-circuit algorithm used to calculate the shortest path of a node to all other nodes. Main features of a starting point as the center expand outward of layers, until the end of the extension. In this paper, the algorithm is applied to the robot soccer path planning and obstacle avoidance control and made a good effect. After Recognition the environment, Robot Soccer can determine the shortest path timely and the method has been applied to the actual robot control.
机译:作为一种典型且具有挑战性的多智能体系统,机器人足球系统被许多研究人员认为是多智能体系统的理想研究平台,其目的是在复杂的动态环境中研究多机器人(或智能体)。约束,完成实时推理和计划技术的多任务和多目标,这对未来社会具有深远的意义。 Dijkstra算法是最典型的短路算法,用于计算一个节点到所有其他节点的最短路径。以中心为起点的主要特征是向外扩展,直到扩展结束。本文将该算法应用于机器人足球路径规划和避障控制,取得了良好的效果。识别环境后,Robot Soccer可以及时确定最短路径,并将该方法应用于实际的机器人控制。

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