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Automatic detection of assembly mode for a Triglide-robot

  • Christoph Budde*
  • , Marcus Rose
  • , Jochen Maaß
  • , Annika Raatz
  • *Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Abstract

Robots based on parallel kinematic structures are known to have a small workspace compared to their installation space. To tackle this drawback a workspace enlargement approach using several workspaces going along with different working and assembly modes has been introduced in earlier publications. Robot structures designed for this approach are able to change their assembly modes. Using the drives' position feedback systems these assembly modes cannot be distinguished, which is necessary at least after startup of the robot control to correctly solve the structure's kinematic models. In this paper different approaches for a detection of the actual assembly mode of a kinematic structure are presented. Using the example of a Triglide-robot one of the approaches is demonstrated in more detail. It is based on a comparison of measured drive forces, necessary to hold the structure against gravity, with theoretical holding forces, calculated for all possible assembly modes. Experimental results show the effectiveness of the approach.

OriginalspracheEnglisch
Titel des Sammelwerks2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Seiten1568-1575
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 18 Sept. 2008
Extern publiziertJa
Veranstaltung2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, USA / Vereinigte Staaten
Dauer: 19 Mai 200823 Mai 2008

Publikationsreihe

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Konferenz

Konferenz2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Land/GebietUSA / Vereinigte Staaten
OrtPasadena, CA
Zeitraum19 Mai 200823 Mai 2008

ASJC Scopus Sachgebiete

  • Software
  • Steuerungs- und Systemtechnik
  • Artificial intelligence
  • Elektrotechnik und Elektronik

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