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situation reasoning for an adjustable autonomy system

International Journal of Intelligent Computing and Cybernetics 2012年第2期5卷 226-238页

作者： Yin Lili Zhang Rubo Gu Hengwen College of Computer Science and Technology Harbin Engineering UniversityHarbin CityChina College of Power and Energy Engineering Harbin Engineering UniversityHarbin CityChina

Purpose–The purpose of this paper is to provide a more capable and holistic adjustable autonomy system,involving situation reasoning among all involved information sources,to make an adjustable autonomy system which knows what the situation is currently,what needs to be done in the present situation,and how risky the task is in the present *** will enhance efficiency for calculating the level of ***/methodology/approach–situation reasoning methodologies are present in many autonomous systems which are called situation *** awareness in autonomous systems is divided into three levels,situation perception,situation comprehension and situation *** awareness in these systems aims to make the tactical plans cognitive,but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or ***,in solving this problem,it is important to design a new situation reasoning module for the adjustable autonomous ***–The contribution of this paper is presenting the situation Reasoning Module(SRM)for an adjustable autonomous system,which encapsulates event detection,cognitive situations,cognitive tasks,performance capacity assessment and integrated situation *** paper concludes by demonstrating the benefits of the SRM in a real-world scenario,a situation reasoning simulation in unmanned surface vehicles(USV)while performing a navigation ***/value–The method presented in this paper represents a new SRM to reason the situation for adjustable autonomous *** the results presented in the paper are based on fuzzy logic and Bayesian network *** results of this paper can be applicable to land,sea and air robotics in an adjustable autonomous system.

关键词： situation reasoning Adjustable autonomous system Event detection situation cognitive Task cognitive Performance capacity assessment Reasoning Cognition

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