Initial Localization of Mobile Robot Based on Expansion Resetting Without Manual Pose Adjustment in Robot Challenge Experiment

Author:

Takeda Seo1,Umetani Tomohiro2ORCID

Affiliation:

1. Graduate School of Natural Science, Konan University, 8-9-1 Okamoto, Higashinada, Kobe, Hyogo 658-8501, Japan

2. Department of Intelligence and Informatics, Konan University, 8-9-1 Okamoto, Higashinada, Kobe, Hyogo 658-8501, Japan

Abstract

This study proposes a method for estimating the initial position of a mobile robot during a mobile robot experiment using expansion resetting. Depending on the type of sensor attached to the robot and the robot position and orientation estimation method, many operations may be required to estimate the initial position of the robot during an experimental run. The proposed method reduces the time and manual operations required to estimate the initial position and orientation of a mobile robot. The implementation of the method and its experimental results demonstrated the feasibility and effectiveness of the procedure.

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference19 articles.

1. S. Yuta, “Tsukuba Challenge: Open Experiments for Autonomous Navigation of Mobile Robots in the City – Activities and Results of the First and Second Stages –,” J. Robot. Mechatron., Vol.30, No.4, pp. 504-512, 2018.

2. Y. Hara, T. Tomizawa, H. Date, Y. Kuroda, and T. Tsubouchi, “Tsukuba Challenge 2019: Task Setting and Experimental Results,” J. Robot. Mechatron., Vol.32, No.6, pp. 1104-1111, 2020.

3. T. Takubo, S. Aoyagi, Y. Inoue, A. Imazu, and K. Ikoma, “Report of Nakanoshima Challenge 2019,” Proc. of the 20th SICE System Integration Division Annual Conf. (SI2019), pp. 1937-1938, 2019 (in Japanese).

4. T. Takubo, “Recommendation of Participating Robotics Challenges,” Proc. of the 63rd Annual Conf. of the Institute of Systems, Control and Information Engineers (SCI’19), pp. 685-688, 2019 (in Japanese).

5. S. Tanaka and Y. Inoue, “Outdoor Human Detection with Stereo Omnidirectional Cameras,” J. Robot. Mechatron., Vol.32, No.6, pp. 1193-1199, 2020.

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