Intelligent Mobile Robot Control in Linguistic Evaluation of Solution Options

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2019-10-01 DOI:10.1109/FarEastCon.2019.8934814

I. Kafiev, P. Romanov, I. Romanova

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引用次数: 6

Abstract

The development of modern intelligent control systems and robotics has led to the automation of production processes in completely new applications. In particular, mobile robots are used not only to solve problems where there is a threat to human life and health, but also in normal conditions to perform heavy or long monotonous work, such as picking berries. The article deals with the approach to solving the task of intelligent agricultural mobile robot control in the linguistic evaluation of the usage options for picking berries. The solution of this task is based on the establishment of the order ratio on fuzzy estimates, which is determined through probabilistic estimates for their clear equivalents. As a solution, the variant with the lowest rank from the obtained ranked series of possible solutions is chosen. The article presents the results of applying the developed method for solving the task of agricultural mobile robot control for picking strawberry in the climatic conditions of Central Russia.

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智能移动机器人控制解决方案的语言评价

现代智能控制系统和机器人技术的发展导致了生产过程自动化的全新应用。特别是，移动机器人不仅用于解决威胁人类生命和健康的问题，而且还用于在正常条件下执行繁重或长时间单调的工作，例如采摘浆果。本文讨论了智能农业移动机器人控制任务在采摘浆果使用选项的语言评估中的解决方法。该问题的解决是基于模糊估计的序比的建立，该序比是通过对其明确等价物的概率估计来确定的。作为解，从得到的可能解的排序序列中选择秩最低的变量。本文介绍了在俄罗斯中部气候条件下，应用所开发的方法解决农业移动机器人采摘草莓的控制任务的结果。

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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来源期刊

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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