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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
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Sensors and Materials, Volume 32, Number 4(1) (2020)
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


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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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