基于元胞自动机的牧羊犬问题研究

Y. Adachi, M. Kakikura
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引用次数: 3

摘要

本文的目的是提出一个多智能体系统复杂路径规划问题的仿真框架。本文主要研究处理分布式自主机器人系统的“牧羊犬问题”。这个问题是处理一个猎物机器人和多个捕食者机器人的“追逐问题”的扩展。牧羊犬问题挑战处理更复杂的问题,即多个狗机器人试图追逐和捕获多个羊机器人。本文提出利用Boids模型和元胞自动机对羊群机器人的群集行为和狗机器人的追逐和捕获行为进行建模。我们演示了一个关于牧羊犬问题的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Sheepdog Problem Using Cellular Automata
The purpose of this paper is to propose a simulation framework for complex path planning problems with multi-agent systems. The paper focuses on the "sheepdog problem" that handles distributed autonomous robot systems. This problem is an extension of the "pursuit problem" that handles one prey robot and multiple predator robots. The sheepdog problem challenges to handle more complex issue, that is, multiple dog robots try to chase and capture multiple sheep robots. In this paper, we propose the use of Boids model and cellular automata to model the flocking behavior for the sheep robots, and the chasing and capturing behavior for the dog robots. We demonstrate an experiment of the sheepdog problem.
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