Estimation of spatio-temporal object properties for manipulation tasks from observation of humans

Susanne Petsch, Darius Burschka

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

We propose a system for vision-based estimation of manipulation-relevant properties of objects in natural scenes based on observation of human actions. The system consists of an a-priori (Atlas) knowledge about known generic objects in the scene and classifies the scene into mission relevant objects and background geometry that is important only for collision avoidance.We present the object-centric structure of our system consisting of an Atlas representation and a Working Memory storing the current knowledge about the scene, the manipulated objects and actions applied to them in the local environment. We present experimental results how the system maintains the information in the database and we show the quality of the results that can be obtained with our system.

OriginalspracheEnglisch
Titel2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Seiten192-198
Seitenumfang7
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK, USA/Vereinigte Staaten
Dauer: 3 Mai 20107 Mai 2010

Publikationsreihe

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

Konferenz

Konferenz2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Land/GebietUSA/Vereinigte Staaten
OrtAnchorage, AK
Zeitraum3/05/107/05/10

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