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    <identifier>10.57760/sciencedb.14937</identifier>
    <datestamp>2024-12-16T10:50:53Z</datestamp>
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  <dc:date>2024-12-16</dc:date>
  <dc:title>Kaiwu Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.14937</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset first provides an integration of human, environment and robot data collection framework with 20 subjects and 30 interaction objects resulting in totally 11,664 instances of integrated actions. For each of the demonstration, hand motions, operation pressures, sounds of the assembling process, multi-view videos, high-precision motion capture information, eye gaze with first-person videos, electromyography signals are all recorded. Fine-grained multi-level annotation based on absolute timestamp, and semantic segmentation labelling are performed. Kaiwu dataset aims to facilitate robot learning, dexterous manipulation, human intention investigation and human-robot collaboration research.&amp;nbsp;</dc:description>
  <dc:subject>Robot learning; Embodied AI; Human-Robot Interaction; Multimodal Fusion</dc:subject>
  <dc:creator>Jiang Shuo</dc:creator>
  <dc:creator>Li Haonan</dc:creator>
  <dc:creator>Ren Ruochen</dc:creator>
  <dc:creator>Zhou Yanmin</dc:creator>
  <dc:creator>Wang Zhipeng</dc:creator>
  <dc:creator>He Bin</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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