Title
Performance-oriented networked visual servo control with sending rate scheduling
Abstract
In order to speed up image processing in visual servoing, the distributed computational power across networks and appropriate data transmission mechanisms are of particular interest. In this paper, a high sampling rate of visual feedback is achieved by distributed computation on a cloud image processing platform. For target tracking with a networked visual servo control system, a switching control law considering the varying feedback delay caused by image processing and data transmission is applied to improve the control performance. A sending rate scheduling strategy aiming at saving the network load is proposed based on the tracking error. Experiments on a 7 degree-of-freedom (DoF) manipulator are carried out to validate the proposed approach. The proposed approach shows a similar control performance as a system without sending rate scheduling, however, beneficially with largely reduced network load.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5979989
ICRA
Keywords
Field
DocType
data communication,data transmission mechanisms,time-varying systems,7 dof manipulator,target tracking,visual servoing,switching control law,visual feedback,feedback,sending rate scheduling strategy,distributed computational power,cloud image processing platform,distributed parameter systems,performance-oriented networked visual servo control,manipulators,telecommunication control,networked control systems,robot vision,varying feedback delay,image processing,servo control,degree of freedom,visualization,control systems,servers,network visualization,data transmission,control system,distributed computing
Data transmission,Computer science,Scheduling (computing),Control theory,Networked control system,Image processing,Control engineering,Real-time computing,Visual servoing,Servo control,Control system,Tracking error
Conference
Volume
Issue
ISSN
2011
1
1050-4729
ISBN
Citations 
PageRank 
978-1-61284-386-5
1
0.37
References 
Authors
12
5
Name
Order
Citations
PageRank
Haiyan Wu1526.04
Lei Lou2404.28
Chih-Chung Chen3627.57
Sandra Hirche4961106.36
Kolja Kühnlenz543040.87