Robot Learners: Interactive Instance-based Learning and Its Application to Therapeutic Tasks

Park, Hae Won; Howard, Ayanna M.

Title:

Robot Learners: Interactive Instance-based Learning and Its Application to Therapeutic Tasks

dc.contributor.author	Park, Hae Won
dc.contributor.author	Howard, Ayanna M.
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Robotics and Intelligent Machines	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Electrical and Computer Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. Human-Automation Systems Lab
dc.date.accessioned	2015-08-25T16:31:40Z
dc.date.available	2015-08-25T16:31:40Z
dc.date.issued	2014-11
dc.description	Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.	en_US
dc.description	2014 AAAI Fall Symposium Series, November 13-15, 2014, Arlington, VA.
dc.description.abstract	Programming a robot to perform tasks requires training that is beyond the skill level of most individuals. To address this issue, we focus on developing a method that identifies keywords used to convey task knowledge among people and a framework that uses these keywords as conditions for knowledge acquisition by the robot learner. The methodology includes generalizing task modeling and providing a robot learner the ability to learn and improve its skills through accumulated experience gained from interaction with humans. More specifically, the aim of this research addresses the issues of knowledge encoding, acquisition, and retrieval through interactive instance-based learning (IIBL). In interaction studies, the benefit of using such a robot learner is in promoting social behaviors that results from the participant taking on an active role as teacher. Our recent experiment with 33 participants, including 19 typically developing children, and a pilot study with two children with autism spectrum disorder showed that IIBL provides a framework for designing an effective robot learner, and that the robot learner successfully increases the amount of social interactions initiated by the participants.	en_US
dc.embargo.terms	null	en_US
dc.identifier.citation	Park, H. & Howard, A. (2014). “Robot Learners: Interactive Instance-Based Learning and Its Application to Therapeutic Tasks”. AAAI Fall Symposium Series, November 2014.	en_US
dc.identifier.uri	http://hdl.handle.net/1853/53773
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.publisher.original	Association for the Advancement of Artificial Intelligence
dc.subject	Human-robot interaction	en_US
dc.subject	Instance-based learning	en_US
dc.subject	Learning from demonstration	en_US
dc.subject	Robot learning	en_US
dc.subject	Tablet interface	en_US
dc.title	Robot Learners: Interactive Instance-based Learning and Its Application to Therapeutic Tasks	en_US
dc.type	Text
dc.type.genre	Proceedings
dspace.entity.type	Publication
local.contributor.author	Howard, Ayanna M.
local.contributor.corporatename	School of Civil and Environmental Engineering
local.contributor.corporatename	Institute for Robotics and Intelligent Machines (IRIM)
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