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Gesture-Based Robot Programming Using Microsoft Kinect

Authors: Sebastian Blankemeyer; Joshua Göke; Tobias Grimm; Benedikt Meier; Annika Raatz;

Gesture-Based Robot Programming Using Microsoft Kinect

Abstract

Companies have to face constantly changing framework conditions. Product lifecycles are reduced and the number of variants increase as a result of increasing product individualization. To ensure that production systems such as robots can achieve this flexibility, more and more programming procedures are being developed that do not require a high level of qualification. This thesis deals with an intuitive approach that can be used for programming adhesive joints. With the help of the simple pointing to surfaces, a path corresponding to the intersection line of the two planes is calculated. The required algorithm for fingertip recognition is implemented with the help of Voronoi diagrams. The recognition of the planes is based on a region growing algorithm. The accuracy of the whole process is limited by the current technical state of the art and does not yet meet the necessary requirements.

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Keywords

Gesture recognition, Robot programming, Intuitive human machine interface, [INFO] Computer Science [cs]

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green