自主移动机器人照度测量的智能控制

Ryota Inoue, T. Arai, Y. Toda, M. Tsujimoto, K. Taniguchi, N. Kubota
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引用次数: 2

摘要

在过去的十年里,由于出生率下降和人口老龄化,各个行业都出现了劳动力短缺问题。因此,为了克服劳动力短缺现象,自主机器人得到了广泛的研究。建造业是其中一个需要大量人力来完成各种任务的行业。传统的建筑工地照度测量是一项耗费大量人力和时间的工作。因此,开发了各种机器人来自动测量建筑工地的照度。在本文中,我们开发了一种自主移动机器人,在进行同步定位和测绘(SLAM)和避障的同时进行照度测量。人类操作员首先设置导航路径并将其发送给机器人。在给定的路径下,机器人开始在环境中自主导航,并测量环境中目标点的照度。该机器人通过在真实室内环境中进行的几个实验进行了验证。实验结果表明,该机器人能够自主测量环境的照度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Control for Illuminance Measurement by an Autonomous Mobile Robot
Over the last decade, the labor shortage suffers various industry sectors due to declining birthrate and aging population. Thus, autonomous robots have been widely researched for overcoming the labor-shortage phenomena. The construction sector is one of the industries that require high manpower to conduct various tasks. Traditional illuminance measurement in construction sites is one of the tasks that require much manpower and consumption time. As such, the development of various robots has been conducted to autonomously measure construction sites' illuminance. In this paper, we develop an autonomous mobile robot to perform illuminance measurement while performing simultaneous localization and mapping (SLAM), and obstacle avoidance. Human operators first set a navigation path and send it to the robot. With the given path, the robot starts to navigate the environment autonomously and measures the illuminance of the target points in the environment. The robot is validated through several experiments conducted in real-world indoor environments. Experimental results showed that the robot was able to autonomously measure the illuminance of the environment.
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