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Multi-agent Trail Making for Stigmergic Navigation

机译:多智能体航迹制造

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Robotic agents in dynamic environments must sometimes navigate using only their local perceptions. In complex environments, features such as terrain undulation, geometrically complex barriers, and similar obstacles form local maxima and minima that can trap and hinder agents using reactive navigation. Moreover, agents navigating in a purely reactive fashion forget their past discoveries quickly. Preserving this knowledge usually requires that each agent construct a detailed world model as it explores or be forced to rediscover desired goals each time. Explicit communication can also be required to share discoveries and coordinate actions. The cost of explicit communication can be substantial, however, making it desirable to avoid its use in many domains. Accordingly, in this paper we present a method of cooperative trail making that allows a team of agents using reactive navigation to assist one another in their explorations through implicit (stigmergic) communication.
机译:动态环境中的机器人代理有时必须仅使用其本地感知进行导航。在复杂的环境中,诸如地形起伏,几何上复杂的障碍以及类似障碍之类的特征形成了局部最大值和最小值,这些局部最大值和最小值可以使用反应性导航来捕获和阻碍特工。此外,以纯粹反应性方式行进的代理商会很快忘记他们过去的发现。保留此知识通常需要每个代理在每次探索或被迫重新发现期望的目标时构造一个详细的世界模型。还可能需要明确的交流来共享发现并协调行动。但是,显式通信的成本可能很高,因此希望避免在许多领域中使用它。因此,在本文中,我们提出了一种协作式跟踪制作方法,该方法允许一组使用反应式导航的特工通过隐式(适神)通信互相协助。

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