Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Design of Visual Servo Robot Tracking System Based on Image Feature

Authors
Yue Guo, Xiaolan Yao, Wei Li
Corresponding Author
Yue Guo
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.111How to use a DOI?
Keywords
Visual servo robot; Track a target; System development
Abstract
The purpose of the paper is to design a visual servo robot system to finish some tasks with a better effect instead of workers. This system is designed with closed-loop control based on image feature, and it is more accurate than the control based on position. The system consists of two parts, including a control software system and a set of hardware system. The two parts are connected through a vision module, which collects the coordinate information of the target. In order to achieve good tracking precision, kinematics model and analysis of the experimental platform are given, and inverse kinematics is concluded accuracy. Finally, the control software is presented. With the experimental verification, the visual servo robot system can reach the goal of tracking the target with good performance of real-time and tracking precision.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.111How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yue Guo
AU  - Xiaolan Yao
AU  - Wei Li
PY  - 2015/04
DA  - 2015/04
TI  - Design of Visual Servo Robot Tracking System Based on Image Feature
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 567
EP  - 572
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.111
DO  - https://doi.org/10.2991/icmra-15.2015.111
ID  - Guo2015/04
ER  -