Study on Path Planning of Intelligent Mower Based on UWB Location

Yang Liu, Mengqian Tian, Xingsong Wang, Jiadong Lv
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引用次数: 4

Abstract

With the progress of intelligent robot technology and the increase of urban greening area, the intelligent mower has also been greatly developed. However, most intelligent mowers do not have the ability to locate outdoors accurately, so the random path is mainly used for mowing. This makes mowing efficiency low. In this paper, the UWB(Ultra Wideband) location is used to solve the problem that intelligent mower cannot accurately locate outdoors. UWB location system consists of location base station and location label. In the experiment, the intelligent mower can be located accurately to the Ami level, which provides the basis for path planning. In the aspect of path planning, this paper mainly takes the global static known environment as the research background. In this paper, the map construction of intelligent mower operation, the point-to-point optimal path algorithm, and the whole area coverage algorithm are studied. The improved Boustrophedon cell decomposition is proposed, which makes the mower more efficient.
基于超宽带定位的智能割草机路径规划研究
随着智能机器人技术的进步和城市绿化面积的增加,智能割草机也得到了很大的发展。然而,大多数智能割草机不具备室外准确定位的能力,因此主要采用随机路径进行割草。这使得割草效率低。本文采用超宽带(UWB)定位技术解决智能割草机在室外无法准确定位的问题。超宽带定位系统由定位基站和定位标签组成。在实验中,智能割草机可以精确定位到Ami级别,为路径规划提供依据。在路径规划方面,本文主要以全局静态已知环境为研究背景。本文主要研究了智能割草机作业的地图构建、点对点最优路径算法和全区域覆盖算法。提出了一种改进的鲍氏细胞分解方法,提高了割草机的效率。
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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