What's in a Primitive? Identifying Reusable Motion Trajectories in Narrated Demonstrations

被引:0
|
作者
Mohseni-Kabir, Anahita [1 ]
Wu, Victoria [1 ]
Chernova, Sonia [2 ]
Rich, Charles [1 ]
机构
[1] Worcester Polytech Inst, 100 Inst Rd, Worcester, MA 01609 USA
[2] Georgia Inst Technol, 225 North Ave Admin Bldg, Atlanta, GA 30332 USA
来源
2016 25TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN) | 2016年
关键词
REPRESENTATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a novel algorithm to identify reusable motion trajectories corresponding to the primitive actions in a human demonstration of a symbolic plan with accompanying narration. Our approach involves a multi-step process starting with time-series pattern mining applied to raw motion-capture data. We evaluated our algorithm on recordings of human motions and showed that it identifies reusable trajectories with 86% of the accuracy of human experts.
引用
收藏
页码:267 / 272
页数:6
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