An Outline for an intelligent System performing Peg-in-Hole Actions with flexible Objects

Andreas Jordt, Andreas Rune Fugl, Leon Bodenhagen, Morten Willatzen, Reinhard Koch, Henrik Gordon Petersen, Knud A. Andersen, Martin M. Olsen, Norbert Krüger

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Abstrakt

We describe the outline of an adaptable system which is able to perform grasping and peg-in-hole actions with flexible objects. the system makes use of visual tracking and shape reconstruction, physical modeling of flexible material and learning based on a kernel density approach. We show results for the different sub-modules in simulation as well as real world data.
OriginalsprogEngelsk
Publikationsdatodec. 2011
Antal sider12
DOI
StatusUdgivet - dec. 2011
Begivenhed4th International Conference on Intelligent Robotics and Applications -
Varighed: 6. dec. 2011 → …

Konference

Konference4th International Conference on Intelligent Robotics and Applications
Periode06/12/2011 → …

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