Papers
19
Total Citations
279
H-Index
9
About
Julian Klodmann is a leading researcher in medical robotics, with a focus on robotically assisted surgical systems, haptic telemanipulation, and human-robot interaction. His work spans the development of safe, collaborative robotic platforms for minimally invasive surgery, including pioneering contributions to digital twin-based training for surgeons and model-free anomaly detection for robotic safety. Klodmann’s most cited paper, “An Introduction to Robotically Assisted Surgical Systems” (55 citations), provides a comprehensive overview of the field, while his research on impedance control for ultrasound scanning and ORB-SLAM-based surgical navigation demonstrates his commitment to integrating advanced perception and control into clinical workflows. Notably, his work on robotic waterjet wound debridement and collaborative ultrasound tissue scanning in neurosurgery highlights the translational impact of his research, addressing real-world surgical challenges. With over 200 total citations across his top publications, Klodmann has established himself as a key figure in advancing the safety, precision, and usability of medical robots, particularly through the development of the DLR MIRO platform and its intuitive user interfaces.
Research Focus
Key Achievements
Top Papers
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- 3Model-free robot anomaly detection42 citations · 2014
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- 6An ORB-SLAM3-based Approach for Surgical Navigation in Ureteroscopy13 citations · 2022
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