Definition
Across departments and groups, the technology field “Handling Technology and Intralogistics” bundles the competencies of the employees from the eponymous areas. This includes in-depth process knowledge regarding the specific requirements for the added value of mechatronic products and systems, in particular in the fields of electronics production, electric motor production, biomechatronics and efficient systems.
Furthermore, hardware-based research topics for the development of new transport entities with software-based control and interoperation in production systems for optimized supply and control of manufacturing processes are combined. The flexibilization of interlinking in production enables a change from forward planning to short-term reactive control. The resulting optimized resource utilization and demand-oriented production contribute significantly to the competitiveness of companies.
Vision
The technology field combines in-depth knowledge of the applicable robots and handling devices, their control and motion planning as well as the application-related necessary actuators and sensors. Through a cross-group dialogue, there is a sustainable transfer of knowledge and the possibility of developing alternative solutions.
The chair should also be established as a leading research institute for highly flexible intralogistics material flow solutions and as a pioneer in the field of self-regulating production systems to initiate the transformation of logistics from a value-enabling to a value-adding activity.
Focus areas
- Robots
- Handling equipment
- New and alternative kinematics
- Mobile robot systems
- Online and offline programming
- Griffin technologies
- Process Tools
- Sensors
- Actuators
- Manual assembly
- Autonomous railway planning
- Motion planning
- Bionic systems
- Magnet mounting
- Winding assembly
- Assembly of electronic components
- Accuracy enhancement of kinematics
- Human robot cooperation
- Printing technologies for 3D-MID
- Dismantling
- Connection technologies
- 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
- Multimodal transport by means of autonomous, decentrally controlled entities
- Continuous optimization of manufacturing using digital shadow simulation
- Autonomous, capability-based production systems
- Work preparation during transport by mobile robots
- Product and process traceability
Head of technology field
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.