Admittance Control of an Industrial Robot during Resistance Training

Maike Ketelhut*, Melanie Kolditz, Fabian Göll, Bjoern Braunstein, Kirsten Albracht, Dirk Abel

*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in FachzeitschriftZeitschriftenaufsätzeForschungBegutachtung

Abstract

Neuromuscular strength training of the leg extensor muscles plays an important role in the rehabilitation and prevention of age and wealth related diseases. In this paper, we focus on the design and implementation of a Cartesian admittance control scheme for isotonic training, i.e. leg extension and flexion against a predefined weight. For preliminary testing and validation of the designed algorithm an experimental research and development platform consisting of an industrial robot and a force plate mounted at its end-effector has been used. Linear, diagonal and arbitrary two-dimensional motion trajectories with different weights for the leg extension and flexion part are applied. The proposed algorithm is easily adaptable to trajectories consisting of arbitrary six-dimensional poses and allows the implementation of individualized trajectories.
OriginalspracheEnglisch
ZeitschriftIFAC-PapersOnLine
Jahrgang52
Ausgabenummer19
Seiten (von - bis)223-228
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 2019
VeranstaltungThe IFAC/IFIP/IFORS/IEA Symposium on Analysis Designs and Evaluation of Human-Machine Systems - Tallin, Estland
Dauer: 16.09.201919.09.2019
Konferenznummer: 14

Fachgebiete und Schlagwörter

  • Assistive Technology
  • Automatic control
  • Human-Computer Interaction
  • Rehabilitation Engineering
  • robogym
  • rosylernt

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