Interactive Learning and its Role in Pervasive Robotics

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dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorFox, Dieter
dc.contributor.authorFitzGerald, Nicholas
dc.contributor.authorHerbst, Evan
dc.date.accessioned2018-09-06T17:43:57Z
dc.date.available2018-09-06T17:43:57Z
dc.date.issued2012-05
dc.description© 2012 IEEE, IEEE International Conference on robotics and Innovation, Workshop on The Future of HRI, St. Paul, MN, May 2012en_US
dc.description.abstractAs robots have become lower-cost, more ubiquitous, and more capable, the importance of enabling untrained users to interact with them has increased. Such robots have the potential to provide assistance and reduce workloads in the home, in the workplace, and in the context of assistive technologies. However, it is difficult to predict the specific tasks that these robots should be programmed to assist with before they are deployed, and in these settings, robots will often be interacting with non-expert end users. In this paper, we argue that one approach to dealing with this type of humanrobot interaction is teachable robotics, in which robots learn to perform novel tasks in novel environments from humans using intuitive teaching modalities, such as natural language. We describe two recent projects that make progress in this direction, and discuss the challenges revealed by this work.en_US
dc.description.urihttp://iral.cs.umbc.edu/Pubs/MatuszekICRA2012_HRI-workshop.pdf
dc.format.extent6 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2TH8BR1S
dc.identifier.citationCynthia Matuszek, Dieter Fo,x Nicholas FitzGerald, Evan Herbst, Interactive Learning and its Role in Pervasive Robotics, IEEE International Conference on robotics and Innovation, Workshop on The Future of HRI, St. Paul, MN, May 2012en_US
dc.identifier.urihttp://hdl.handle.net/11603/11255
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectteachable roboticsen_US
dc.subjectintuitive teaching modalitiesen_US
dc.subjectnatural language groundingen_US
dc.subjectcombinatory categorial grammarsen_US
dc.subjectInteractive Robotics and Language Laben_US
dc.titleInteractive Learning and its Role in Pervasive Roboticsen_US
dc.typeTexten_US

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