A Bayesian Approach to Robot Group Control  

作　　者：Tomislav Stipancic Bojan Jerbic Petar Curkovic 

机构地区：[1]Department of Robotics and Production System Automation, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb 10000, Croatia

出　　处：《Computer Technology and Application》2011年第9期716-723,共8页计算机技术与应用（英文版）

摘　　要：This paper describes a Bayesian approach to robot group control applied in industrial applications. The proposed model is based on well-known concepts of Ubiquitous Computing and can enable some degree of contextual perception of the environment. Compared with classical industrial robots, usually preprogrammed for a limited number of operations/actions, the system based on this model can react in uncertain situations and scenarios. The model combines ontology to describe the specific domain of interest and decision-making mechanisms based on Bayesian Networks to enable the work of a single robot without human intervention by learning Behavioral Patterns of other robots in the group. The described model is designed to be expressive enough to provide adequate level of abstractions needed for making timely appropriate actions and respecting the current application.

关 键 词：ROBOTICS Bayesian networks （BN） descriptive logic （DL） ONTOLOGY context assembly. 

分 类 号：TP242.2[自动化与计算机技术—检测技术与自动化装置] O212.8[自动化与计算机技术—控制科学与工程]