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

页码：267 / 272

页数：6

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