基于粗糙气象学的机器人导航与路径规划

L. Polkowski, Lukasz Zmudzinski, Piotr Artiemjew
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引用次数: 3

摘要

在本研究中,作者提出了一种新的智能机器人与机器人团队控制与导航的关联方法。主要的基础理论是气象学及其扩展,粗糙的气象学增加了从几何学转移的新概念,即在气象学框架中呈现的中间性。随着理论命题的提出,我们给出了实验结果,证明了该方法的有效性。所提出的方法允许用户在机器人配置组之间进行切换,从而为根据环境和期望的工作目标进行团队配置的人工协调指导开辟了道路。
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Robot Navigation and Path Planning by Means of Rough Mereology
In this research contribution, authors advocate a new relational means for intelligent robot and robot teams control and navigation. The main underlying theory is that of mereology and its extension rough mereology augmented with new concepts transferred from geometry viz. betweenness, rendered in the mereological framework. Along with the theoretical proposition, we give results of experiments showing the usefulness of the method. The proposed method allows the user to switch among teams of robot configurations which opens the way to humancoordinated steering of team configurations depending on the environment and desired work aim.
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