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Print: ISSN 0914-4935
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.
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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Sensors and Materials
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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 32, Number 4(1) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1159-1170
S&M2168 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2540 Published: April 10, 2020 Research on Obstacle Avoidance Method for Mobile Robot Based on Multisensor Information Fusion [PDF] Chengguo Zong, Zhijian Ji, Yan Yu, and Hao Shi (Received July 31, 2019; Accepted December 9, 2019) Keywords: mobile robots, obstacle avoidance, multi-sensor information fusion, fuzzy neural network
With the wide application of mobile robots in unstructured environments, an obstacle avoidance system with good performance has become an important part of mobile robot systems. We propose an obstacle avoidance method for a mobile robot based on multi-sensor information fusion technology and a fuzzy neural network control algorithm. In view of complex working environments, a differential kinematics estimation model of a mobile robot is studied. A multi-sensor information fusion method based on the extended Kalman filter and a mobile robot obstacle avoidance algorithm based on fuzzy neural network control are then proposed. Finally, simulations and experiments are conducted, which demonstrate the effectiveness of the proposed method.
Corresponding author: Zhijian Ji  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Chengguo Zong, Zhijian Ji, Yan Yu, and Hao Shi, Research on Obstacle Avoidance Method for Mobile Robot Based on Multisensor Information Fusion, Sens. Mater., Vol. 32, No. 4, 2020, p. 1159-1170. |
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