Daniel Pölzleitner is a Research Associate at DLR, with a background in mechatronics and robotics. They have held various roles at Deutsches Zentrum für Luft-und Raumfahrt e.V., including working on model-based simulations for robotic electric vehicles and programming recurrent neural networks for state estimation. Prior to this, Daniel gained experience as a CAD Designer at Metall- und Plastikwaren Putz GmbH and served as a student assistant at Technische Universität München, contributing to projects involving robotic systems. Daniel holds a Master of Science in Mechatronics and Robotics from Technische Universität München and has also studied at Swinburne University of Technology.
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