Volume 1, Issue 1, June 2014, Pages 45 - 48
Study on the Improvement of Flexibility for an Industrial Robot Based on Machine Vision
Authors
Jiwu Wang, Xianwen Zhang, Weining Zhang, Sugisaka Masanori
Corresponding Author
Jiwu Wang
Available Online 30 June 2014.
- DOI
- 10.2991/jrnal.2014.1.1.9How to use a DOI?
- Keywords
- Arm robot, Target recognition, Flexible control, Machine vision
- Abstract
In order to improve the applications for an industrial robot, it is necessary to increase its flexibility and accuracy. The machine vision technology is an effective solution. In order to reduce the influence of the size, deformation etc., the target extraction method with fusion of color space and moment invariants is developed. It makes the multiple targets extracted accurately and robustly. The experiments results showed that the developed algorithms are robust, and the robot’s flexibility can be improved.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Jiwu Wang AU - Xianwen Zhang AU - Weining Zhang AU - Sugisaka Masanori PY - 2014 DA - 2014/06/30 TI - Study on the Improvement of Flexibility for an Industrial Robot Based on Machine Vision JO - Journal of Robotics, Networking and Artificial Life SP - 45 EP - 48 VL - 1 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2014.1.1.9 DO - 10.2991/jrnal.2014.1.1.9 ID - Wang2014 ER -