Imitating human reaching motions using physically inspired optimization principles

S. Albrecht, K. Ramírez-Amaro, F. Ruiz-Ugalde, D. Weikersdorfer, M. Leibold, M. Ulbrich, M. Beetz

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

65 Zitate (Scopus)

Abstract

We present an end-to-end framework which equips robots with the capability to perform reaching motions in a natural human-like fashion. A markerless, high-accuracy, model-based human motion tracker is used to observe how humans perform everyday activities in real-world scenarios. The obtained trajectories are clustered to represent different types of manipulation and reaching motions occurring in a kitchen environment. Using bilevel optimization methods a combination of physically inspired optimization principles is determined that describes the human motions best. For humanoid robots like the iCub these principles are used to compute reaching motion trajectories which are similar to human behavior and respect the individual requirements of the robotic hardware.

OriginalspracheEnglisch
Titel2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
Seiten602-607
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011 - Bled, Slowenien
Dauer: 26 Okt. 201128 Okt. 2011

Publikationsreihe

NameIEEE-RAS International Conference on Humanoid Robots
ISSN (Print)2164-0572
ISSN (elektronisch)2164-0580

Konferenz

Konferenz2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
Land/GebietSlowenien
OrtBled
Zeitraum26/10/1128/10/11

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