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Build and Optimization of an Intelligent Decision Support System for UGVs Based on the Human-Robot Coordination
Science Discovery
Volume 4, Issue 1, February 2016, Pages: 6-11
Received: Apr. 7, 2016; Published: Apr. 8, 2016
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Authors
Li Jing, College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China
Tang Zhenmin, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
Tan Yefa, College of Field Engineering, PLA University of Science & Technology, Nanjing Jiangsu, China
Shi Zhaoxia, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
Liu Jiayin, Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu, China
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Abstract
Unmanned systems of autonomy is a kind of perception, observation, analysis, communication, planning, decision-making and action ability, and complete human tasks assigned by the human-computer interaction it. Ground unmanned systems or in academic research field known as mobile robot autonomous land vehicle, known as the unmanned ground vehicles in the army. Based on variable independently, fault diagnosis, situation assessment, decision support, on the basis of analysis and research, building contains a variety of human-computer interaction in the form of unmanned ground vehicles, the intelligent decision support system by determining hierarchy of human-computer interaction, so as to achieve optimal human- robot collaborative, lay a certain foundation for the research of unmanned ground vehicle autonomy.
Keywords
Unmanned Ground Vehicle, Human—Robot Coordination, Variable Autonomy, Fault Detection and Diagnosis, Intelligent Decision Support System
To cite this article
Li Jing, Tang Zhenmin, Tan Yefa, Shi Zhaoxia, Liu Jiayin, Build and Optimization of an Intelligent Decision Support System for UGVs Based on the Human-Robot Coordination, Science Discovery. Vol. 4, No. 1, 2016, pp. 6-11. doi: 10.11648/j.sd.20160401.12
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