Title :
Organizational learning model of cooperative distributed sensing for automation production line
Author :
Sawaragi, Tetsuo ; Horiguchi, Yukio ; Fujita, Yoshifumi
Author_Institution :
Dept. of Precision Eng., Kyoto Univ., Japan
Abstract :
As the complexity and diversity of commodity specifications increase, sensor automation for product inspection is becoming more difficult. In particular, the need to tune sensors so that they are customized to specific conditions and environmental factors is making such automation a very difficult task. This paper presents a method for automating such a sensor-tuning process, which is based upon a distributed sensing approach using multiple vision sensors. We focus on the effects of varying the inter-agent dependence as well as the agent-organization dependence on the overall performance, and we discuss the results in terms of organizational learning
Keywords :
factory automation; image processing equipment; image sensors; multivariable systems; performance index; sensor fusion; tuning; agent-organization dependence; commodity specifications; cooperative distributed sensing; decentralized autonomous systems; environmental factors; factory automation; inter-agent dependence; multiple vision sensors; organizational learning model; performance; product inspection; production line; sensor automation; sensor customization; sensor tuning; Automation; Environmental factors; Image sensors; Inspection; Multiagent systems; Precision engineering; Production systems; Sensor systems; Signal to noise ratio; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973052
