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FAPS – Institute for Factory Automation and Production Systems
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FAPS – Institute for Factory Automation and Production Systems

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  4. Automated Production Systems

Automated Production Systems

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Automated Production Systems

Definition

The technology field “Automated Production Systems” bundles the robotics competencies across all chairs. In addition to in-depth knowledge of mechatronic systems, this also includes a high level of expertise in enabling technologies for robotics. This includes sensor and actuator technology, methods for environment modeling and the interpretation of data to define appropriate robot actions. The real application reference within the research is always taken into account. Among other things, the use of innovative robot technologies in production, in medical technology and for assistance is addressed, through to the use of robots in the dismantling of nuclear facilities and for the development of previously inaccessible places for exploration and, if necessary, utilization.

Vision

‪The technology field bundles in-depth knowledge about the robots and handling devices that can be used, their control and motion planning as well as the actuators and sensors required for the specific application. A sustainable transfer of knowledge and the possibility of developing alternative solutions is achieved through a cross-group dialog.

Focus areas

  • ‪Robots
  • Handling equipment
  • New and alternative kinematics
  • Online and offline programming
  • Gripping technologies
  • Process Tools
  • Sensors
  • Actuators
  • Motion planning
  • Bionic systems
  • Magnet mounting
  • Winding assembly
  • Assembly of electronic components
  • Accuracy enhancement of kinematics
  • Human robot cooperation
  • Dismantling and recycling
  • Human-robot Interaction, User Interfaces, Safe Interaction
  • Teleoperation und Telepresence
  • Virtual Reality, Augmented Virtuality
  • Perception, Environment Modelling, Mapping
  • Navigation, Exploration
  • Object Classification, -Localization and 6DoF Pose Estimation
  • Bin Picking
  • Deep Learning, Imitation Learning, Reinforcement Learning
  • Autonomous, capability-based production systems
  • Work preparation during transport by mobile robots
  • Product and process traceability

Head of technology field

  • Oguz Kedilioglu, M.Sc.

Member

  • Patrick Bründl, M.Sc.
  • Simon Dengler, M.Sc.
  • Patrick Ehrlicher, M.Sc.
  • Miriam Eichinger, M.Sc.
  • Helmut Engelhardt, M. Sc.
  • Simon Fröhlig, M.Sc.
  • Roman Hahn, M.Sc.
  • Christian Hofmann, M. Sc.
  • Thorsten Ihne, M.Sc.
  • Oguz Kedilioglu, M.Sc.
  • Maximilian Kneidl, M.Sc.
  • Simon Lamprecht, B.Sc.
  • Alexander Mahr, M. Sc.
  • Dipl.-Ing. Michael Masuch
  • Christopher May, M. Sc.
  • Nina Merz, M. Sc.
  • Andreas Morello, M. Sc.
  • Andreas Riedel, M.Sc., M.Sc.
  • Elisabeth Schmidl, M.Eng.
  • Johannes Seefried, M. Sc.
  • Rasool Shahsevani, M.Sc.
  • Dipl.-Ing. Robert Süß-Wolf
  • Alexander Vogel, M. Sc.
  • Christian Voigt, M. Sc.
  • Johannes von Lindenfels, M. Sc.
  • Jonas Walter, M. Sc.
  • Nico Wieprecht, M.Sc. B.Eng.
  • Andreas Willums
  • Marco Ziegler, M. Sc.
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Schlossplatz 4
91054 Erlangen
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