A syntactic approach to robot imitation learning using probabilistic activity grammars

Title:	A syntactic approach to robot imitation learning using probabilistic activity grammars
Authors:	Lee, K Su, Y Kim, T-K Demiris, Y
Item Type:	Journal Article
Issue Date:	1-Dec-2013
URI:	http://hdl.handle.net/10044/1/18734
DOI:	http://www.dx.doi.org/10.1016/j.robot.2013.08.003
ISSN:	0921-8890
Publisher:	Elsevier
Start Page:	1323
End Page:	1334
Journal / Book Title:	Robotics and Autonomous Systems
Volume:	61
Issue:	12
Copyright Statement:	© 2013 Elsevier B.V. All rights reserved. this is the author’s version of a work that was accepted for publication in Robotics and Autonomous Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Robotics and Autonomous Systems, Vol. 61, Issue 12 (2013) DOI 10.1016/j.robot.2013.08.003
Appears in Collections:	Electrical and Electronic Engineering