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Heuristic-Based Dynamic Route Planning Method for a Homogeneous Multi-robot Team

机译:同类多机器人团队基于启发式的动态路径规划方法

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摘要

Multi-robot systems have recently received a great deal of attention due to the ability to perform an assigned task in a more reliable, faster and cheaper way beyond what is possible with a single robot. However, they may have some drawbacks, such as obstruction among robots during a task. Non-intersecting tours are preferable for the robots to prevent obstruction. Moreover, after an initial plan, the environment (open roads may be closed) and/or task requests (active/deactive) may change dynamically, which may require a fast tour construction for the members of the mobile robot group. In this study, a novel heuristic method is proposed to construct non-intersecting tours for the members of a mobile robot group in dynamic and/or partially unknown environments considering the energy capacities of the robots. It is an aggregate algorithm consisting of the Savings algorithm and the Sweep algorithm, and is applicable to the problems that are modeled using complete, sparse, directed or undirected networks. Simulations are offered to show the effectiveness of the proposed algorithm.
机译:由于多机器人系统能够以比单个机器人更可靠,更快速,更便宜的方式执行分配的任务,因此近来受到了广泛的关注。但是,它们可能具有一些缺点,例如在执行任务期间机器人之间的障碍。对于机器人而言,最好采用非相交的巡回路线以防止阻塞。此外,在初步计划之后,环境(开放的道路可能被封闭)和/或任务请求(活动/不活动)可能会动态更改,这可能需要快速移动机器人组成员的构建。在这项研究中,提出了一种新颖的启发式方法,在动态和/或部分未知的环境中,考虑机器人的能量,为移动机器人组的成员构造非相交的巡回路线。它是由节省算法和扫描算法组成的聚合算法,适用于使用完整,稀疏,有向或无向网络建模的问题。仿真结果表明了该算法的有效性。

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