Dr. Lukas Sohlbach

Thesis: Controlling Artificial Muscles in the Context of Soft Robots - Development of a neuromophic test bench for controlling and analysing a dielectric elastomer actuator (DEA) - Establishment of a control-orientated model. Comparing visoelastic models with system identification approaches. - Development, implementation and validation of a bio-inspired control method based on a Spiking Neural Network (SNN) in combination with a digital neuromorphic hardware platform (SpiNN-3 Development Board)

Independent research as part of a cooperative Ph.D. project. Project lead Frankfurt Robotics Science Team (FRoST) with approx. 10 students: - Project definition and assignment - Preparation of the qualification documents - Buged and scheduling - Representation of the team - Participation in the European Rover Challenge (ERC), Best Team in Maintenance Task and 7th place 2022 as well as 5th place 2023 Assisting in teaching: - Physics - MATLAB Simulink - Electrical engineering

Development of a robot-based inspection system for painted car bodies.

Writing a peer-reviewed conference paper.

EMC-compliant development of embedded hardware modules.

Algorithm and software development for collaborative robot systems. Voluntary internship.

Commissioning and supervision of a test bench, compulsory internship.

Gap year usually taken to do voluntary work in the social sector (FSJ).

Fachrichtung: Mechatronik