首页 /研究 /Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception
PERCEPTION

Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception

Jay Young, Valerio Basile, Markus Suchi, Lars Kunze, Nick Hawes, Markus Vincze, Barbara Caputo

发表年份
2017
引用次数
16

关键词

SituatedComputer scienceRobotConvolutional neural networkHuman–computer interactionPerceptionSoftware deploymentExploitSemantics (computer science)Space (punctuation)

相关论文

查看 PERCEPTION 分类全部论文