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Stefanie Zimmermann is a PhD student at Linköping University, focusing on the identification and modeling of robotic manipulators. Her research primarily involves statistical methods to improve experiment design and frequency response estimation for industrial robots. Through her publications, she has contributed to various conferences and journals, including notable works in the IEEE International Conference on Intelligent Robots Systems and the IEEE International Conference on Robotics Automation. Her latest licentiate thesis emphasizes data-driven modeling techniques, showcasing her commitment to advancing robotics through efficient design methods. Zimmermann collaborates with esteemed researchers in the field, contributing valuable insights and methodologies that support the ongoing development of automation technologies.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.