- Collection and analysis of motion data by different measuring techniques (e.g., electromyography, dynamometry, kinematics, isokinetics, psychomotoric measurements and spiroergometry): The gained knowledge will be used in practical applications. By this, specific properties and limitations of different measuring techniques will be identified.
- Programming and signal analysis with Matlab: students learn how to process and analyze raw data (e.g., identification of measurement errors)
- Integrative modelleling of biological systems (e.g., basic muscle models, bipedal walking models) in Matlab: students learn to explore the influence of different model parameters on the motion excecution by designing and using simulation models.
- Control approaches of robotic systems: students learn to implement basic control algorithms in simulation systems.
- Introduction to mechantronic systems: Design and Implementation of actuators, sensors and control platforms (e.g., Arduino, Matlab etc.).
- Application of the gained knowledge on simple and modifiable bipedal robots: students can test and validate their programmes and hypotheses to gain a comprehensive understanding of the biological movements and the capabilities of hardware implementations.
- Integration of motion principles in advanced robotic systems (e.g., active prostheses): students learn aspects of prosthetic design, simulation of control approaches and their implementation in available systems (e.g., SpringActive „Odyssey“ Prothese, Össur „Power Knee“).