Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells

Timotej Gašpar, Miha Deniša, Primož Radanovič, Barry Ridge, T. Rajeeth Savarimuthu, Aljaž Kramberger, Marc Priggemeyer, Jürgen Roßmann, Florentin Wörgötter, Tatyana Ivanovska, Shahab Parizi, Žiga Gosar, Igor Kovač, Aleš Ude

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The manufacturing industry is seeing an increase in demand for more custom-made, low-volume production. This type of production is rarely automated and is to a large extent still performed manually. To keep up with the competition and market demands, manufacturers will have to undertake the effort to automate such manufacturing processes. However, automating low-volume production is no small feat as the solution should be adaptable and future proof to unexpected changes in customers’ demands. In this paper, we propose a reconfigurable robot workcell aimed at automating low-volume production. The developed workcell can adapt to the changes in manufacturing processes by employing a number of passive, reconfigurable hardware elements, supported by the ROS-based, modular control software. To further facilitate and expedite the setup process, we integrated intuitive, user-friendly robot programming methods with the available hardware. The system was evaluated by implementing five production processes from different manufacturing industries.
Original languageEnglish
Article number101979
JournalRobotics and Computer-Integrated Manufacturing
Volume66
Number of pages17
ISSN0736-5845
DOIs
Publication statusPublished - Dec 2020

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    Gašpar, T., Deniša, M., Radanovič, P., Ridge, B., Savarimuthu, T. R., Kramberger, A., Priggemeyer, M., Roßmann, J., Wörgötter, F., Ivanovska, T., Parizi, S., Gosar, Ž., Kovač, I., & Ude, A. (2020). Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells. Robotics and Computer-Integrated Manufacturing, 66, [101979]. https://doi.org/10.1016/j.rcim.2020.101979