Autonomous and cooperative multirobot system for multi-object transportation

Pegah Maghsoud, C. D. de Silva, Muhammad Tahir Khan
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引用次数: 6

Abstract

This paper presents a multi-robot cooperation algorithm for object transportation, and is inspired by artificial immune system (AIS). The robotic team comprises multiple heterogeneous robots each with a unique set of capabilities. The developed multi-robot system (MRS) is autonomous and fully distributed. The task allocation algorithm allows for concurrent execution of multiple tasks in the system. Tasks in the developed MRS are heterogeneous objects that are randomly introduced to the system. The transportation of an object may only need a single robot or may require multiple cooperative robots. Essentially the developed MRS runs in an unknown, unstructured and dynamic environment. An experimental implementation and test results are used to demonstrate the effectiveness of the developed MRS.
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面向多目标运输的自主协作多机器人系统
受人工免疫系统(AIS)的启发,提出了一种多机器人协作的物体运输算法。机器人团队由多个异构机器人组成,每个机器人都有一组独特的功能。所开发的多机器人系统具有自治和全分布式的特点。任务分配算法允许在系统中并发执行多个任务。在已开发的MRS中,任务是随机引入系统的异构对象。一个物体的运输可能只需要一个机器人,也可能需要多个机器人的合作。从本质上讲,开发的MRS运行在一个未知的、非结构化的、动态的环境中。实验实现和测试结果证明了所开发的磁控系统的有效性。
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