Open Access
ARTICLE
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,
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.
Keywords
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