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Intelligent Service Robot Vision Control Using Embedded System

Li-Hong Juang1, Shengxiang Zhang2

1 School of Electrical Engineering and Automation, Xiamen University of Technology, No.600, Ligong Road, Jimei, Xiamen, 361024,P.R.China
2 Engineering College, HuaQiao University, No.269,Chenghua North Road,Fengze District, Quanzhou, Fujian 362021, P.R.China

* Corresponding Author: Li-Hong Juang, email

Intelligent Automation & Soft Computing 2019, 25(3), 451-458. https://doi.org/10.31209/2019.100000126

Abstract

Intelligent robots are the combination of computer engineering, software engineering, control engineering, electronic engineering, mechanical engineering, and systems design engineering in order to design, and manufacture useful products. In this paper, the author derives some novel computing and algorithm applications on computer vision and image processing and intelligent control and navigation of mobile robots for the intelligent service robot system. In this paper, we proposed an idea of flexible design for a intelligent service robot, which refers to a single robot with a variety of flexure structure. We presented an integrated system for vision-guided finding the person and completing obstacle avoidance. The simple algorithm based on path planning of vision is proposed, and we combine this algorithm and the centripetal rule of path planning in maze robot. The experimental results show that it has a good control effect and is able to extend its popularization and application.

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Cite This Article

APA Style
Juang, L., Zhang, S. (2019). Intelligent service robot vision control using embedded system. Intelligent Automation & Soft Computing, 25(3), 451-458. https://doi.org/10.31209/2019.100000126
Vancouver Style
Juang L, Zhang S. Intelligent service robot vision control using embedded system. Intell Automat Soft Comput . 2019;25(3):451-458 https://doi.org/10.31209/2019.100000126
IEEE Style
L. Juang and S. Zhang, “Intelligent Service Robot Vision Control Using Embedded System,” Intell. Automat. Soft Comput. , vol. 25, no. 3, pp. 451-458, 2019. https://doi.org/10.31209/2019.100000126



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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