In flexible manufacturing settings, automation is shaped by ever changing conditions (e.g. varying part feeding locations, highly customizable products). Quick adaptation of robot systems is mostly achieved by visual end-user robot (re-)programming. In this paper, we discuss the explicit integration of anticipated product and process variety into visually programmed tasks. We contribute a task model which captures a user-defined range of task variants. To this end, parts are specified in terms of approximate locations and generalized parts families. Workspace exploration and combinatorial assignment planning enable online adaptation to unknown environments. Our experiments show that this adaptation capability can increase the economical efficiency of cobot use.
Visual Programming of Robot Tasks with Product and Process Variety
MHI Colloquium ; 2022 ; Karlsruhe, Germany July 20, 2022 - July 21, 2022
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022 ; Kapitel : 20 ; 241-252
2023-07-11
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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