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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 3(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1021-1036
S&M1832 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2226 Published: March 29, 2019 Obstacle Avoidance of Mobile Robot Based on HyperOmni Vision [PDF] Shih-An Li, Li-Hsiang Chou, Tsung-Han Chang, Chao-Hsu Yang, and Yu-Cheng Chang (Received November 23, 2018; Accepted February 7, 2019) Keywords: dynamic window approach, artificial potential field, HyperOmni Vision, mobile robot, obstacle avoidance
In this paper, we present a method that combines an improved dynamic window approach (IDWA) and an artificial potential field to avoid obstacles for autonomous wheeled robots with HyperOmni Vision. The experimental environment follows the rule of RoboSot avoidance challenge in the Federation of International Robot-soccer Association (FIRA) competition.There are three parts of this study, namely, (1) image processing, (2) an IDWA, and (3) an improved artificial potential field. In the avoidance challenge in FIRA, the robot must avoid eight obstacles that are placed randomly in the playing field. The results indicate that the three-wheeled robot can avoid obstacles autonomously by using the method proposed in this paper. Our team won the FIRA avoidance challenge championship this year by the method proposed in this paper.
Corresponding author: Shih-An Li  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shih-An Li, Li-Hsiang Chou, Tsung-Han Chang, Chao-Hsu Yang, and Yu-Cheng Chang, Obstacle Avoidance of Mobile Robot Based on HyperOmni Vision, Sens. Mater., Vol. 31, No. 3, 2019, p. 1021-1036. |
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