A framework of networked visual servo control system with distributed computation

• Published in: 2010 11th International Conference on Control Automation Robotics & Vision pp. 1466 - 1471
• Main Authors: Haiyan Wu, Lei Lou, Chih-Chung Chen, Hirche, S, Kühnlenz, Kolja
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2010
• Subjects: Cameras; Delay; Feature extraction; Real time systems; Servosystems; Visualization
• ISBN: 1424478146; 9781424478149
• DOI: 10.1109/ICARCV.2010.5707837

In this paper, a networked visual servo control system with distributed computation is proposed to overcome the low sampling rate problem in vision-based control systems. A real-time image data transmission protocol based on Realtime Transport Protocol (RTP) is developed. The captured images are sent to different processing nodes connected over a communication network and processed in parallel. Thus, a high sampling rate of the visual feedback is achieved under a cloud image processing architecture. The varying image processing delay caused by the varying number of extracted features and the random transmission delay are modeled as a random process with Bernoulli distribution. By using the input-delay approach, the resulted networked visual servo control system is reformulated into a stochastic continuous-time system with time-varying delay. Experiments on two 1-DoF linear motor modules are carried out to validate the proposed approach. A visual servo control system without parallel distributed computation is implemented for comparison. The experimental results demonstrate significant performance improvement by the proposed approach.