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dc.contributor.authorNikolaidis, Stefanos
dc.contributor.authorShah, Julie A
dc.date.accessioned2018-06-05T13:08:04Z
dc.date.available2018-06-05T13:08:04Z
dc.date.issued2012-06
dc.identifier.isbn978-1-60086-939-6
dc.identifier.urihttp://hdl.handle.net/1721.1/116078
dc.description.abstractRobots are increasingly introduced to work in concert with people in high-intensity domains, such as manufacturing, space exploration and hazardous environments. Although there are numerous studies on human teamwork and coordination in these settings, very little prior work exists on applying these models to human-robot interaction. In this paper we propose a novel framework for applying prior art in Shared Mental Models (SMMs) to promote effective human-robot teaming. We present a computational teaming model to encode joint action in a human-robot team. We present results from human subject experiments that evaluate human-robot teaming in a virtual environment. We show that cross-training, a common practice used for improving human team shared mental models, yields statistically significant improvements in convergence of the computational teaming model (p=0.02) and in the human participants' perception that the robot performed according to their preferences (p=0.01), as compared to robot training using a standard interactive reinforcement learning approach. © 2012 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.en_US
dc.description.sponsorshipABB Inc.en_US
dc.description.sponsorshipABB Corporate Research Center (Vasteras, Sweden)en_US
dc.description.sponsorshipAlexander S. Onassis Public Benefit Foundationen_US
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)en_US
dc.relation.isversionofhttp://dx.doi.org/10.2514/6.2012-2536en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleHuman-Robot Interactive Planning using Cross-Training: A Human Team Training Approachen_US
dc.typeArticleen_US
dc.identifier.citationNikolaidis, Stefanos, and Julie Shah. “Human-Robot Interactive Planning Using Cross-Training: A Human Team Training Approach.” Infotech@Aerospace 2012 (June 19, 2012).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.mitauthorNikolaidis, Stefanos
dc.contributor.mitauthorShah, Julie A
dc.relation.journalInfotech@Aerospace 2012en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2018-04-10T18:03:11Z
dspace.orderedauthorsNikolaidis, Stefanos; Shah, Julieen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1338-8107
mit.licenseOPEN_ACCESS_POLICYen_US


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