Vision-based Perception for Dexterous Hand-arm Teleoperation

Link:
Autor/in:
Beteiligte Person:
  • Zhang, Jianwei
Verlag/Körperschaft:
Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
Erscheinungsjahr:
2021
Medientyp:
Text
Schlagworte:
  • teleoperation
  • dexterous hand-arm system
  • 004: Informatik
  • 50.25: Robotertechnik
  • Robotik
  • Deep learning
  • ddc:004:
  • Robotik
  • Deep learning
Beschreibung:
  • The dissertation devotes itself to employing markerless vision-based teleoperation using an end-to-end learning scheme for anthropomorphic hands and integrating it into a dexterous hand-arm teleoperation system. Sufficient network evaluation and robot experiments show that the proposed teleoperation systems are accurate, efficient, and robust, and can contribute to solving complex tasks in multiple applications, e.g., space station, medical surgery, and daily life.
Lizenzen:
  • http://purl.org/coar/access_right/c_abf2
  • info:eu-repo/semantics/openAccess
  • https://creativecommons.org/licenses/by/4.0/
Quellsystem:
E-Dissertationen der UHH

Interne Metadaten
Quelldatensatz
oai:ediss.sub.uni-hamburg.de:ediss/9564