From Human to Robot Everyday Activity
Datei | Beschreibung | Größe | Format | |
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Putze_Human to Robot Everyday activity_2020_accepted-version_PDF-A.pdf | 5.64 MB | Adobe PDF | Anzeigen |
Autor/Autorin: | 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 ![]() |
Zusammenfassung: | 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. |
Schlagwort: | Cloud Computing; Data analysis; Annotations; Pipelines; Robot sensing systems; Planning; Labeling | Veröffentlichungsdatum: | 2020 | Zeitschrift/Sammelwerk: | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) | Startseite: | 8997 | Endseite: | 9004 | Dokumenttyp: | Konferenzbeitrag | Konferenz: | RSJ International Conference on Intelligent Robots and Systems (IROS) | ISBN: | 978-1-7281-6212-6 | Zweitveröffentlichung: | yes | Dokumentversion: | Postprint | DOI: | 10.26092/elib/2330 | URN: | urn:nbn:de:gbv:46-elib70094 | Fachbereich: | Fachbereich 03: Mathematik/Informatik (FB 03) |
Enthalten in den Sammlungen: | Forschungsdokumente |
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