Group Zeilinger

Open Opportunities

Data-driven Modelling of Cerebrospinal Fluid Dynamics for Hardware-in-the-Loop Shunt Testing ETH Zurich Group Zeilinger Data-driven Modelling of Cerebrospinal Fluid Dynamics for Hardware-in-the-Loop Shunt Testing Biomechanical Engineering ETH Zurich (ETHZ), Master Thesis

Design of an autonomous aerodynamic airshield for training Olympic 100m sprint athletes ETH Zurich Group Zeilinger Olympic athletes are pushing the boundaries of human performance in sport disciplines. In order to achieve this outstanding performance, the type of training and the tools used play a crucial role in the final performance. In the 100m sprint discipline, top-runners train using a device called “aerodynamic shield”, namely, a trolley pulled by a car to allow athletes to run in the slipstream while drastically reducing their own aerodynamic drag, see Fig 1. The car pulling the aerodynamic shield is driven by a human that has to simultaneously stay within the running track boundaries, match the athlete speed, and not hit the athlete. Thanks to the advancement in sensing and control, the task of driving the car can be either aided by a control algorithm or fully automated. Control Engineering, Electrical Engineering, Intelligent Robotics, Mechanical and Industrial Engineering, Robotics and Mechatronics Master Thesis, Semester Project