Discovering Morphology from Action Observation

dc.contributor.authorBell, Neil R.
dc.contributor.authorOates, Tim
dc.contributor.authorMatuszek, Cynthia
dc.date.accessioned2018-09-06T17:41:45Z
dc.date.available2018-09-06T17:41:45Z
dc.date.issued2017
dc.descriptionWorkshop on Spatial-Semantic Representations in Robotics, 2017
dc.description.urihttp://iral.cs.umbc.edu/Pubs/BellRSS2017_heterogeneity-workshop.pdf
dc.format.extent1 PAGEen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2BG2HD8S
dc.identifier.citationNeil R. Bell, Tim Oates, Cynthia Matuszek, Discovering Morphology from Action Observation, Robotics: Science and Systems (R:SS) Workshop on Spatial-Semantic Representations in Robotics, 2017en_US
dc.identifier.urihttp://hdl.handle.net/11603/11251
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Colection
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.subjectInteractive Robotics and Language Laben_US
dc.subjectK-Means Algorithm
dc.subjectarticulated pose estimation
dc.subjectkinematic modeling
dc.titleDiscovering Morphology from Action Observationen_US
dc.typeTexten_US

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