DocumentCode :
681095
Title :
Experimental evaluations of prediction servoing to moving object by hand-eye robotic system
Author :
Sunami, Yusuke ; Minami, Mamoru ; Yanou, Akira
Author_Institution :
Graduate School of Natural Science and Technology, Okayama University, Japan
fYear :
2013
fDate :
14-17 Sept. 2013
Firstpage :
1310
Lastpage :
1315
Abstract :
In the field of robot vision, a control method called visual servoing attracts attention. The visual servoing is a method to control robots by visual information in a feedback loop, which is obtained by video cameras. So, this method is expected to be able to make robots adapt to tasks in changing or unknown environment. However, when the target object moves quickly, it happens to be unable for the robots to track it due to dynamical effect, i.e., motion delay. To decrease the delay, we have proposed prediction servoing control method, which utilizes prediction of the target position based on the past observed position data of the object and learning by neural networks, and utilize predicted position as a desired position for the visual servoing. In this research, we have confirmed how the learning function in neural networks work for precise prediction of target´s future position through visual servoing experiments.
Keywords :
Approximation methods; Cameras; Neural networks; Robot kinematics; Visual servoing; Visualization; GA; Prediction Servoing; Visual Feedback Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference (SICE), 2013 Proceedings of
Conference_Location :
Nagoya, Japan
Type :
conf
Filename :
6736263
Link To Document :
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