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DISTRIBUTED MULTI-ROBOT ASSEMBLY/PACKAGING ALGORITHMS

机译:分布式多机器人组装/包装算法

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Five different algorithms for cooperation between assembly/packaging robots in a distributed system were developed and evaluated in simulation. Independent, autonomous operation of each robot was assumed. The goal was to maximize the number of assemblies while minimizing the standard deviation of the work between the different robots. Two of the algorithms, a fuzzy algorithm and a simple "take-what-you-can" algorithm were implemented on an experimental system. Experimental results indicated better performance for the simple algorithm in terms of the number of assemblies. However, the fuzzy algorithm reduces the standard deviation of work between the robots and therefore equalizes the robots' utilization. Equal utilization is a major factor in multi-robots systems, and contributes in decreasing mean time between failure (MTBF).
机译:开发了五种不同的算法用于分布式系统中组装/包装机器人之间的协作,并在仿真中进行了评估。假定每个机器人独立自主运行。目标是最大程度地增加装配数量,同时最大程度地减少不同机器人之间的工作标准偏差。在实验系统上实现了两种算法,一种是模糊算法,另一种是简单的“随便拿什么”算法。实验结果表明,该简单算法在程序集数量方面具有更好的性能。然而,模糊算法减小了机器人之间的工作标准偏差,从而使机器人的利用率达到均等。均等利用率是多机器人系统中的主要因素,并且有助于缩短平均故障间隔时间(MTBF)。

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