Title:
Task-Learning Policies for Collaborative Task Solving in Human-Robot Interaction

dc.contributor.author Park, Hae Won
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. Human-Automation Systems Lab en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2016-04-20T15:17:14Z
dc.date.available 2016-04-20T15:17:14Z
dc.date.issued 2012
dc.description Copyright ©2012 ACM en_US
dc.description DOI: 10.1145/2388676.2388752
dc.description.abstract The objective of this doctoral research is to design multimodal task-learning policies for a robotic system that targets the exchange of task rules between humans and robots. This objective is achieved through a collaborative task application during human-robot interaction where the two partners learn a task from each other and accomplish a shared goal. As a first step, a method to model human-action primitives using a pattern-recognition technique is presented. Next, algorithms are developed to generate turn-taking strategies in response to human task behaviors. The contribution of this work is in engaging robots with humans in collaborative play task by modeling statistical patterns of play behaviors and reusing previously learned knowledge to reduce the decision process. Here, results of previous work are presented, and remaining works including deploying a physically embodied agent and developing an evaluation platform are outlined. en_US
dc.embargo.terms null en_US
dc.identifier.citation Park, H. W. (2012). Task-Learning Policies for Collaborative Task Solving in Human-Robot Interaction. Proceedings of the 14th ACM international Conference on Multimodal Interaction (ICMI '12), pp. 341-344. en_US
dc.identifier.doi 10.1145/2388676.2388752
dc.identifier.isbn 978-1-4503-1467-1
dc.identifier.uri http://hdl.handle.net/1853/54748
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Association for Computing Machinery
dc.subject Collaborative task learning and solving en_US
dc.subject Human-robot interaction en_US
dc.title Task-Learning Policies for Collaborative Task Solving in Human-Robot Interaction en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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