Stammdaten

Titel: Gesture-based Contactless Control of Mobile Manipulators using Capacitive Sensing
Untertitel:
Kurzfassung:

Contactless control of serial and mobile manipulators is of interest in highly sensitive environments such as clean rooms and operational rooms to circumvent contamination of surrounding materials and in collaborative robotics to ensure safe and intuitive operation on shared workspaces. We present a contactless control scheme based on capacitive sensing which enables an intuitive control of robot manipulators. Contrary to optical and vision-based systems the capacitive sensor is robust against mechanical impact, dirt and does not suffer from occlusions or bad light conditions. The sensor can be realized on a flexible substrate, which offers a variety of placement options for the sensors, e.g. directly on a robot arm or integrated in the surface of a table or workplace. A comparatively simple model based approach is used to detect gestures thus avoiding the need for large training sets and allowing for easy adaptability to various geometric constraints. The capabilities of the proposed system are demonstrated by controlling the end-effector velocity of a mobile manipulator in 3D task space combined with a visualization of the system as feedback for the operator.

Schlagworte:
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 30.06.2020 (Online)
Erschienen in: 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 6

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Erscheinungsdatum: 30.06.2020
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/I2MTC43012.2020.9128751
Homepage: https://ieeexplore.ieee.org/abstract/document/9128751
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202035 - Robotik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Nein
Publikationsfokus
  • Science to Science (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
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Kooperationen

Organisation Adresse
Joanneum Research
9020 Klagenfurt
Österreich - Kärnten
AT - 9020  Klagenfurt

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