Christoph Ledermann
Karlsruhe Institute of Technology, Centre for Artificial Intelligence and Robotics
Papers
15
Total Citations
205
H-Index
8
About
Christoph Ledermann is a leading researcher in safe human-robot collaboration and surgical robotics, whose work bridges critical gaps between industrial automation and medical applications. His most impactful contribution, "Risk assessment tools for industrial human-robot collaboration" (57 citations), establishes novel frameworks for evaluating safety in collaborative workspaces, directly addressing practical industry needs. Ledermann's expertise in real-time robotic control is demonstrated through his closed-form redundancy resolution scheme for seven-DoF manipulators (27 citations), which enables faster, more reliable motion planning for industrial robots. He has also pioneered simulation-based safety testing that models hazardous human worker behavior (19 citations), a groundbreaking approach for identifying risks before deployment. In surgical robotics, Ledermann developed innovative Fiber Bragg Grating-based tactile and shape sensors for flexible single-port surgery instruments, achieving 18 and 14 citations respectively for tumor detection and miniaturized shape sensing. His commitment to education is evident in the KUKA Robot Learning Lab (21 citations), a remotely accessible platform democratizing access to expensive industrial robotics for students worldwide. With over 180 total citations, Ledermann's work continues to shape safer, more accessible robotics systems across manufacturing and healthcare.
Research Focus
Key Achievements
Top Papers
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- 10Plug-and-Produce... Safely!6 citations · 2022