Automation Technology

Our Automation Technology division develops new technologies and systems that combine innovative robotics, control and security concepts with machine vision methods. The aim of this work is to use the integration and combination of these key automation components to allow our customers to benefit from more efficient processes. New force control procedures, for instance, enable industrial robots to carry out machining processes – a more versatile and cost-effective solution than conventional machine structures. We are also using innovative methods and automation concepts from the world of production engineering to pave the way for new applications and business divisions in the fields of security technology and medicine. Well-known examples include our process for automated virtual document reconstruction and our robot systems for stroke rehabilitation.

Machine Vision

The ability to process visual information is a prerequisite for many automated processes. The Machine Vision department uses innovative methods of digital image processing and pattern recognition to teach machines how to "see". We develop learning methods for the inspection of material surfaces within the scope of quality assurance, for the control of handling and assembly processes, as well as for monitoring systems which guarantee the safety of persons in hazardous areas. In addition, we transfer production engineering solutions in the fields of image segmentation, character and document interpretation, motion analysis, object classification and biometric recognition systems to non-industrial fields of application. Our core competencies:

  • Automated virtual reconstruction
  • From ronstruction to »repair«
  • Pattern recognition in digital worlds

 

Process Automation and Robotics

Today, production automation is no longer governed solely by economic considerations. Instead, sustainable use of resources and the effects of demographic change are becoming key priorities. The Process Automation and Robotics department is tackling these challenges using intelligent control systems as well as advanced robot technology. Our expertise ranges from tools for process modelling and simulation to innovative kinematic systems with new drive and control solutions, to higher-level process control engineering and technologies to support operating personnel. A speciality are force-controlled robot systems and human-robot cooperation. Our core competencies:

  • Robots with feeling
  • Human-centered automation with COBOTs
  • Machining robots
  • Process optimization in complex systems

Rehabilitation Robotics

In Germany alone, over 200,000 people a year suffer a stroke. The majority of them experience partial paralysis or even a complete loss of voluntary motor function. The rehabilitation robotics work group is developing robot-assisted exercise devices that significantly improve the rate of success in neurological rehabilitation therapy for relearning movement abilities. Our core competencies:

  • Therapy devices for motoric rehabilitation
  • Mechatronic and robotic assistance systems
  • Intelligent mobility aids

Publications

Publications of the last three years

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2024 Implementing human-robot collaboration in highly dynamic environments: Assessment, planning and development
Bastidas Cruz, Arturo; Jaya, T.; Thiele, Gregor; Krüger, Jörg
Konferenzbeitrag
Conference Paper
2023 A Practical Approach to Realize a Closed Loop Energy Demand Optimization of Milling Machine Tools in Series Production
Can, Alperen; Schulz, Hendrik; El-Rahhal, Ali; Thiele, Gregor; Krüger, Jörg
Konferenzbeitrag
Conference Paper
2023 Automatisierte Optimierung der Energieeffizienz verschalteter Anlagen durch steuernden Eingriff
Thiele, Gregor
Dissertation
Doctoral Thesis
2022 Learning Demonstrator for Anomaly Detection in Distributed Energy Generation
Pelchen, Timo; Thiele, Gregor; Vick, Axel; Radke, Marcel; Schade, David; Krüger, Jörg
Paper
2022 Industrielle kraftgeregelte Schraubprozesse
Bastidas Cruz, Arturo; Jaya, Tanureza; Haninger, Kevin; Krüger, Jörg
Zeitschriftenaufsatz
Journal Article
2022 Steigerung der Energieeffizienz mittels Energiekennzahlen am Beispiel der Metallverarbeitung
Sigg, Stefan; Kühn, Armin; Schmidt, Alexander; Roder, Sven; Thiele, Gregor; Krüger, Jörg
Zeitschriftenaufsatz
Journal Article
2022 Robot Inference of Human States: Performance and Transparency in Physical Collaboration
Haninger, K.
Aufsatz in Buch
Book Article
2022 Design and Validation of an Adaptive Force Control Algorithm with Parameter Estimation Unit for Electromechanical Feed Axis
Sewohl, André; Norberger, Manuel; Sigg, Stefan; Schlegel, Holger; Dix, Martin
Konferenzbeitrag
Conference Paper
2022 PowerGrasp: Development Aspects for Arm Support Systems
Goppold, J.-P.; Kuschan, J.; Schmidt, H.; Krüger, J.
Konferenzbeitrag
Conference Paper
2022 High-stiffness Control of Series Elastic Actuators using a Noise Reduction Disturbance Observer
Asignacion, A.; Haninger, K.; Oh, S.; Lee, H.
Zeitschriftenaufsatz
Journal Article
2021 DRL-basierte Navigationsansätze in der industriellen Robotik
Kästner, L.; Lambrecht, J.; Vick, A.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 AI-enhanced Identification, Inspection and Sorting for Reverse Logistics in Remanufacturing
Schlüter, M.; Lickert, H.; Schweitzer, K.; Bilge, P.; Briese, C.; Dietrich, F.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 Resilienz durch Redundanz. Cloud-und Edge-basierte Echtzeitsteuerung von autonomen mobilen Robotern
Nouruzi-Pur, J.; Lambrecht, J.; Nguyen, T.D.; Vick, A.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 Production environment of tomorrow (ProMo)
Kuschan, Jan; Müller, Vinzenz; Monchinger, Stephan; Heimann, Oliver; Niebuhr, Carsten; Kabha, Oday
Konferenzbeitrag
Conference Paper
2021 Data driven automatic parameter inference for robotic assembly programs
Stephan, P.; Fisch, J.; Can, A.; Heimann, O.; Thiele, G.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 How can the programming of impedance control be simplified?
Cruz, A.B.; Radke, M.; Haninger, K.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 Inertial Measurement Unit based Human Action Recognition for Soft-Robotic Exoskeleton
Kuschan, Jan; Burgdorff, Moritz; Filaretov, Hristo; Krüger, Jörg
Konferenzbeitrag
Conference Paper
2021 Universal identification and control of industrial manufacturing equipment as a service
Tessaro, V.; Vick, A.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 Fatigue recognition in overhead assembly based on a soft robotic exosuit for worker assistance
Kuschan, J.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 Inertial measurement unit based human action recognition for soft-robotic exoskeletons
Kuschan, J.; Burgdorff, M.; Filaretov, H.; Krüger, J.
Zeitschriftenaufsatz
Journal Article
2021 How can the programming of impedance control be simplified?
Bastidas Cruz, Arturo; Radke, Marcel; Haninger, Kevin; Krüger, Jörg
Zeitschriftenaufsatz
Journal Article
2021 Graphische Programmierung von Industrierobotern
Chemnitz, M.; Yordanova, M.; Vick, A.
Zeitschriftenaufsatz
Journal Article
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica