Control Applications

Pituitary-Thyroid feedback loop

• Modeling of hyperthyroidism/hypothyroidism
• Development of model-based control strategies to improve medication

Control theory is one of the central methods required for modern robotics, which therefore represents one of the main control applications at our institute. Current research topics include real-time path planning with guaranteed collision avoidance using

• Circular Fields for obstacle avoidance
• Multi-Agent Framework for environment exploration
• Combination of Circular Fields with global planners or MPC

As autonomous vehicles (AV) are coming closer road admission, suitable methods to test AVs are in rising demand. Specifically, the behavior of an AV in specific traffic situations needs to be evaluated to address safety concerns. Model predictive control (MPC) is of particular interest for this purpose as the easy incorporation of constraints and the look-ahead of MPC allows to represent different traffic scenarios. This project aims to investigate suitable MPC appraoches to emulate a reactive environment for testing AVs in different scenarios.