智能移动机器人群体在潜在危险区域的协调运动方法

A. Novikov, A. Voloshko, Evgeniy Dumchev
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引用次数: 0

摘要

组织一组智能移动机器人在潜在危险区域解决常见任务的安全、最优联合运动的方法是目的。这些区域包括:被火灾覆盖的区域、化学污染的区域和另一种表现为紧急情况的区域,在这种情况下机器人将具有很高的效用。为解决这一问题,开发了一个组织移动对象群体交互的软件平台,并给出了其模块化体系结构的构建原则。利用该平台,实现了所开发的解决问题的技术,并进行了一系列实验来评估其有效性。该技术以有向图的形式有效地表示运动空间的算法,基于a-star算法的最优启发式函数寻找最短路径,以及具有任务分配可能性的一组移动机器人联合交互逻辑为基础。在有效性准则指示稳定值的广义计算方法的基础上,对所开发方法的有效性进行了评价。演示实验是在潜在危险区域的目标区域同时安全地收集一组机器人的任务。要评估的主要参数是一组机器人到达的同时性,这取决于一组机器人的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Method for Coordinated Movement of Intelligent Mobile Robot Group in Potentially Dangerous Territory
The method to organize a safe and optimal joint movement of a group of intelligent mobile robots that solve common tasks in a potentially dangerous territory is purpose. Such territories include: territory covered by fire, chemically contaminated territory, and another territory with the manifestation of an emergency in which robots will be of high utility. To solve this problem, a software platform for organizing group interactions of mobile objects has been developed and the principles of building its modular architecture are given. Using the platform, the developed technique for solving the problem was implemented and a series of experiments was conducted to evaluate its effectiveness. The technique is based on algorithms for efficiently representing the movement space in the form of a directed graph, finding the shortest path based on the a-star algorithm with an optimal heuristic function, and the logic of joint interaction of a group of mobile robots with the possibility of task distribution. Evaluation of the effectiveness of the developed method was carried out on the basis of a generalized method for calculating the stabilized value of the indication of the effectiveness criterion. A demonstration experiment is the task of simultaneously and safely collecting a group of robots in a target area in a potentially dangerous territory. The main parameter to be evaluated is simultaneity of the arrival of a group of robots depending on the number of robots in a group.
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