Control strategy for an industrial process monitoring robot

Zimber F, Horváth CM, Thomessen T, Franke J (2017)

Publication Type: Conference contribution

Publication year: 2017

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 706-710

Conference Proceedings Title: SII 2016 - 2016 IEEE/SICE International Symposium on System Integration

Event location: Sapporo, JPN

ISBN: 9781509033294

DOI: 10.1109/SII.2016.7844082

Abstract

The installation of industrial robot systems requires considerable human effort both related to the mechanical and electromechanical setup. However, the task of programming a robot is of particular importance to satisfy given process requirements. Typically, only 20% of the entire programming time is needed to define the path and logics while the remaining 80% is related to process optimization. This causes considerable costs due to the need for human presence. With a remote assistance system and a process monitoring robot, expert assistance could be decoupled from the physical presence. An important challenge is to solve the tracking between the monitoring robot and the robot performing the process. In this paper we propose a controllable sensor system for enhanced process monitoring. The system is decoupled from the process tool and can therefore be controlled independently. It provides the machine operator with adaptive process information and enhances the capabilities to qualify complex processes. We apply the concept to an autonomous sensor robot monitoring an industrial robot system for heavy, multipass TIG welding of voluminous workpieces.

Authors with CRIS profile

Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

Involved external institutions

Budapest University of Technology and Economics (BME) / Budapesti Műszaki és Gazdaságtudományi Egyetem HU Hungary (HU) PPM Robotics AS NO Norway (NO)

How to cite

APA:

Zimber, F., Horváth, C.M., Thomessen, T., & Franke, J. (2017). Control strategy for an industrial process monitoring robot. In SII 2016 - 2016 IEEE/SICE International Symposium on System Integration (pp. 706-710). Sapporo, JPN: Institute of Electrical and Electronics Engineers Inc..

MLA:

Zimber, Fabian, et al. "Control strategy for an industrial process monitoring robot." Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, SII 2016, Sapporo, JPN Institute of Electrical and Electronics Engineers Inc., 2017. 706-710.

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