Dr. Gießler developed a portable sensor system in the field of Mathematics within the Department of Mathematics and Natural Sciences for the highly precise analysis of movements in humanoid robots and humans. By combining this system with data-driven algorithms, balance disturbances during locomotion could be accurately detected and evaluated. The results provide new feedback for control algorithms to improve humanoid robots and enable, for the first time, personalized fall risk analysis in everyday life.

He completed his dissertation under the supervision of Prof. Dr. Kiros Karamanidis (Universität Koblenz), PD Dr. Robert Rockenfeller (Universität Koblenz), and Prof. Dr.-Ing. Bernd Waltersberger (Hochschule Offenburg). Further information about the Doctoral Award can be found on the University of Koblenz's website.