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首页> 外文期刊>International Journal of Advanced Robotic Systems >Verification of visibility-based properties on multiple moving robots in an environment with obstacles
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Verification of visibility-based properties on multiple moving robots in an environment with obstacles

机译:在有障碍物的环境中验证多个移动机器人上基于可见性的属性

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摘要

A multi-robot system consists of a number of autonomous robots moving within an environment to achieve a common goal. Each robot decides to move based on information obtained from various sensors and gathered data received through communicating with other robots. In order to prove the system satisfies certain properties, one can provide an analytical proof or use a verification method. This article presents a new notion to prove visibility-related properties of a multi-robot system by introducing an automated verification method. Precisely, we propose a method to automatically generate a discrete state space of a given multi-robot system and verify the correctness of the desired properties by means of model-checking tools and algorithms. We construct the state space of a number of robots, each moves freely inside a bounded polygonal area with obstacles. The generated state space is then used to verify visibility properties (e.g. if the communication graph of robots is connected) by means of the construction and analysis of distributed processes model checker. Using our method, there is no need to analytically prove that the properties are preserved with every change in the motion strategy of the robots. We have implemented a tool to automatically generate the state space and verified some properties to demonstrate the applicability of our method in various environments.
机译:多机器人系统由在环境中移动以实现共同目标的许多自主机器人组成。每个机器人都基于从各种传感器获得的信息以及通过与其他机器人通信而接收到的收集数据来决定移动。为了证明系统满足某些特性,可以提供分析证明或使用验证方法。本文提出了一种新概念,通过引入自动验证方法来证明多机器人系统的可见性相关属性。精确地,我们提出了一种方法,该方法可以自动生成给定多机器人系统的离散状态空间,并通过模型检查工具和算法来验证所需属性的正确性。我们构造了许多机器人的状态空间,每个机器人在有障碍物的有界多边形区域内自由移动。然后,通过构建和分析分布式过程模型检查器,将生成的状态空间用于验证可见性属性(例如,是否连接了机器人的通信图)。使用我们的方法,无需分析性地证明随着机器人运动策略的每一次更改,这些属性都得以保留。我们已经实现了一种工具,可以自动生成状态空间,并验证了一些属性,以证明我们的方法在各种环境中的适用性。

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