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About

Lisa Landgraf is a researcher at the forefront of medical robotics and interventional imaging, specializing in the integration of autonomous systems for precision therapies. Her work centers on robot-assisted interventions, with a major contribution being the evaluation of IEEE 11073 SDC communication standards to enable the safe, flexible connection of surgical robots—such as KUKA platforms—for focused ultrasound in radiation therapy (2019, 7 citations). This foundational work addresses critical interoperability challenges in the operating room. Landgraf has also advanced human-robot collaboration by assessing natural user interfaces to improve clinical acceptance of robotic systems (2018, 6 citations), tackling a key barrier to adoption. More recently, she has explored the practical potential of PET/MRI-guided interventions (2021, 3 citations), highlighting the role of multimodality imaging in guiding precise, minimally invasive procedures. Her research bridges robotics, imaging, and clinical workflow, with a focus on translating cutting-edge technology into practical, accepted tools for surgery and therapy. Landgraf’s contributions are shaping the future of intelligent, image-guided robotic assistance in medicine.