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TU Berlin

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Prof. Dr.-Ing. Franz Dietrich

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Office: PTZ 303
Tel.: +49 (0)30/314-22014
Fax: +49 (0)30/314-22759
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Scientific career

2018 Professor and head of the department of assembly and handling technology (successor em. Prof. Günther Seliger), TU Berlin

2017 TU Berlin: Call to TU Berlin

2013 Head of the research group "Assembly and Production Automation", Institute of Machine Tools and Production Technology, TU Braunschweig, with active contribution to the research campus OpenHybrid LabFactory, Wolfsburg to the research center BatteryLabFactory Braunschweig

2013 Promotion to Dr.-Ing. with the research topic "Nonlinear Modelling of Hydraulically Actuated Production Machines Using Optimized Experiments", TU Braunschweig

2005 Diplom mechanical engineering (mechatronics & microsystems technology), Karlsruhe Institute of Technology KIT (former University Karlsruhe (TH)), with studies in England and at the University of Bremen

  • Chairman and organizer of the 7th International CIRPe Web Conference 2019
  • Research Affiliate of the International Academy of Production Engineering (CIRP)
  • Winner of the science award of the Heribert-Nasch-Foundation
  • Guest lectures at the Tongji-University, Shanghai, und Singapore Institute of Manufacturing Technology (SIMTECH), Singapur
  • Scientific advisor in the EXIST-project FormHand (now FormHand GmbH, Braunschweig)
  • Involved in over 70 scientific publications and several patents

Contact me for a full CV.

Scientific interests

  • Dynamised production with utilization of user-centred means of intervention and design thinking models
  • Handling technology, robotics, systems technology and control technology for production automation

    • Human-Robot collaboration
    • Control technology for robots, process automation and command levels
    • Modeling, control, trajectory generation
    • Robot controlled additive production
    • Machine concepts, multi-purpose gripper and end effectors
    • Micro assembly, precision assembly, high speed assembly
    • Lab automation and packaging technology (pharamaceutics and bio technology)

  • Process automation, linking and stacking technology for batteries and fuel cells
  • Automation for production process chains in lightweight construction / multi-material-components / in additive production
  • Handling technology for flexible transfer, intra-logistics and commissioning
  • Handling technology, assembly and disassembly in the context of sustainability and energy efficiency
  • New forms of engineer training, i.e. with augmented reality and maker spaces
  • Augmented reality for qualification and productivity increase in assembly and logistics
  • Automation and rationalization of non-production handling processes (i.e. flow of goods, services, construction industry)
  • Targeted use and management of heat in automated production

Publications

Application of artificial neural networks in force-controlled automated assembly of complex shaped deformable components
Citation key HeynGuembelBobkaEtAl2018
Author Heyn, Jakob and Gümbel, Philip and Bobka, Paul and Dietrich, Franz and Dröder, Klaus
Pages 1
Year 2018
Journal Procedia CIRP
Abstract The assembly of deformable components is difficult to automate due to the complex assembly movements and uncertain component geometry. Sensor-guided or deliberately compliant robots can address these issues at the cost of an enlarged parameter space of the assembly process. Machine Learning in the form of artificial neural networks (ANN) is proposed as an approach to find suitable parameter sets for such an assembly process. In this paper the automated assembly of automotive wheel arch liners by a force/torque controlled robot is considered. Two applications of ANNs are investigated experimentally: the parametrization of the assembly robot's trajectory and the estimation of assembly offsets based on torque- and position data.
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Prof. Dr.-Ing. Franz Dietrich
Fachgebietsleiter
sec. PTZ2
Pascalstr. 8-9
10587 Berlin
+49 (0)30/314-22014
+49 (0)30/314-22759