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Gesture based robot programming using process knowledge

An example for welding applications
: Heimann, O.; Hügle, J.; Krüger, J.


Institute of Electrical and Electronics Engineers -IEEE-:
ETFA 2017, 22nd IEEE International Conference on Emerging Technologies and Factory Automation : 12-15 September 2017, Limassol, Cyprus
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-6505-9
ISBN: 978-1-5090-6504-2
ISBN: 978-1-5090-6506-6
International Conference on Emerging Technologies and Factory Automation (ETFA) <22, 2017, Limassol/Cyprus>
Conference Paper
Fraunhofer IPK ()

This paper is a work in progress report on a novel system for intuitive gesture based robot programming. The major contribution is the addition of an expert system into the robot programming process. The expert system uses static knowledge, such as seam types, and dynamic knowledge to reason about the intended process. The dynamic knowledge holds information about the environment and is derived from sensor data. The paper outlines the required components and the current state of development of a prototype system. An example of the inference process is given for a robot laser welding application.