Human-robot coordination

P. Glorennec, K. Wolinski
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引用次数: 1

Abstract

In some situations (e.g. transportation or cleaning tasks in a factory), humans, human-driven cars and autonomous robots can circulate on the same path and have to avoid each other. This is possible only if either behavior are foreseeable, using some implicit (highway code) or explicit (e.g. trafficator to indicate that one is about to turn) common rules. As human driving behavior is easily embedded into linguistic statements such as "if condition then decision", fuzzy logic is a natural way to build "intelligent" robot behavior. The paper is an approach to build a human-like navigation system for autonomous robots.
人机协调
在某些情况下(例如工厂的运输或清洁任务),人类,人类驾驶的汽车和自动机器人可以在同一条路径上循环,并且必须相互避开。只有当任何一种行为都是可预见的,使用一些隐含的(高速公路法规)或明确的(例如,交通工具表明一个人即将转向)共同规则时,这才有可能。由于人类的驾驶行为很容易嵌入语言语句中,如“如果条件,则决定”,因此模糊逻辑是构建“智能”机器人行为的自然方法。本文是一种为自主机器人构建类人导航系统的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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