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Citation link: https://doi.org/10.26092/elib/2330

Publisher DOI: https://doi.org/10.1109/IROS45743.2020.9340706
Putze_Human to Robot Everyday activity_2020_accepted-version_PDF-A.pdf
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From Human to Robot Everyday Activity


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Putze_Human to Robot Everyday activity_2020_accepted-version_PDF-A.pdf5.64 MBAdobe PDFView/Open
Authors: Mason, Celeste  
Gadzicki, Konrad  
Meier, Moritz  
Ahrens, Florian  
Kluss, Thorsten 
Maldonado Cañón, Jaime Leonardo  
Putze, Felix  
Fehr, Thorsten  
Zetzsche, Christoph 
Herrmann, Manfred  
Schill, Kerstin 
Schultz, Tanja  
Abstract: 
The Everyday Activities Science and Engineering (EASE) Collaborative Research Consortium’s mission to enhance the performance of cognition-enabled robots establishes its foundation in the EASE Human Activities Data Analysis Pipeline. Through collection of diverse human activity information resources, enrichment with contextually relevant annotations, and subsequent multimodal analysis of the combined data sources, the pipeline described will provide a rich resource for robot planning researchers, through incorporation in the OpenEASE cloud platform.
Keywords: Cloud Computing; Data analysis; Annotations; Pipelines; Robot sensing systems; Planning; Labeling
Issue Date: 2020
Journal/Edited collection: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
Start page: 8997
End page: 9004
Type: Konferenzbeitrag
Conference: RSJ International Conference on Intelligent Robots and Systems (IROS) 
ISBN: 978-1-7281-6212-6
Secondary publication: yes
Document version: Postprint
DOI: 10.26092/elib/2330
URN: urn:nbn:de:gbv:46-elib70094
Faculty: Fachbereich 03: Mathematik/Informatik (FB 03) 
Appears in Collections:Forschungsdokumente

  

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