Semantic Trajectory Applied to the Navigation of Autonomous Mobile Robots

被引:0
作者
Siqueira, Fernando de Lucca [1 ]
Plentz, Patricia Della Mea [2 ]
De Pieri, Edson Roberto [1 ]
机构
[1] Univ Fed Santa Catarina, Dept Automat & Syst, Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Dept Informat & Stat, Florianopolis, SC, Brazil
来源
2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2016年
关键词
Semantic information; Semantic trajectory; Autonomous mobile robots; Behavior tree; Context information; Intelligent navigation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Current technology produces a big mass of information. The application of this information gives meaning and purpose to this data. Mobile robots can benefit from this information. This paper proposes a framework to apply semantic information to the navigation of autonomous mobile robots, tracking the robot movement into a semantic trajectory and analyzing the context data on the decision-making process through a behavior tree. Experiments show that this framework provides a structure to intelligent navigation and data information to improve the robot behavior.
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收藏
页数:8
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