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DSmT Decision-Making Algorithms for Finding Grasping Configurations of Robot Dexterous Hands

Ionel-Alexandru Gal; Danut Bucur; Luige Vladareanu


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  <dc:creator>Ionel-Alexandru Gal</dc:creator>
  <dc:creator>Danut Bucur</dc:creator>
  <dc:creator>Luige Vladareanu</dc:creator>
  <dc:date>2018-06-01</dc:date>
  <dc:description>In this paper, we present a deciding technique for robotic dexterous hand configurations. This algorithm can be used to decide on how to configure a robotic hand so it can grasp objects in different scenarios. Receiving as input, several sensor signals that provide information on the object’s shape, the DSmT decision-making algorithm passes the information through several steps before deciding what hand configuration should be used for a certain object and task.</dc:description>
  <dc:identifier>https://zenodo.org/record/1412593</dc:identifier>
  <dc:identifier>10.5281/zenodo.1412593</dc:identifier>
  <dc:identifier>oai:zenodo.org:1412593</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.1412592</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>DSmT Decision-Making Algorithms for Finding Grasping Configurations of Robot Dexterous Hands</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
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