Intelligent Control for Illuminance Measurement by an Autonomous Mobile Robot

R. Inoue, T. Arai, Y. Toda, M. Tsujimoto, K. Taniguchi, N. Kubota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
PublisherIEEE Computer Society
Pages270-274
Number of pages5
ISBN (Electronic)9781728131764
DOIs
Publication statusPublished - Oct 2019
Event15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019 - Beijing, China
Duration: Oct 31 2019Nov 2 2019

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
Volume2019-October
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Conference

Conference15th IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019
CountryChina
CityBeijing
Period10/31/1911/2/19

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Inoue, R., Arai, T., Toda, Y., Tsujimoto, M., Taniguchi, K., & Kubota, N. (2019). Intelligent Control for Illuminance Measurement by an Autonomous Mobile Robot. In 2019 IEEE International Conference on Advanced Robotics and its Social Impacts, ARSO 2019 (pp. 270-274). [8948806] (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO; Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/ARSO46408.2019.8948806