Papers
10
Total Citations
81
H-Index
5
About
Georg Rose is a leading researcher at the intersection of medical robotics, neurorehabilitation, and image-guided interventions. His work focuses on developing intelligent robotic systems that enhance both surgical precision and rehabilitation outcomes. In neurorehabilitation, Rose pioneered sensor-based gait event detection algorithms for stroke patients, enabling the seamless integration of functional electrical stimulation with robot-assisted gait training—a combined approach that addresses the limitations of each individual technology. His contributions to surgical robotics include advanced instrument state recognition for robotized laparoscopic systems and novel techniques for measuring cerebral blood flow using robot-arm-mounted flat panel CT, critical for acute ischemic stroke management. Rose has also developed MRI-compatible phantoms and ultra-light micropositioning robotics for universal MRI-guided interventions, pushing the boundaries of minimally invasive procedures. With over 80 citations across his most influential papers, his work on gait rehabilitation (21 citations) and laparoscopic control (13 citations) has garnered significant attention. Notably, his research on hand-eye calibration using dual quaternions and sensorless haptic feedback for cable-driven robotics demonstrates his commitment to making medical robots safer, more intuitive, and more effective in clinical settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training13 citations · 2020
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- 5Registration of a robotic system to a medical imaging system7 citations · 2015
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- 8Hand-eye calibration using dual quaternions in medical environment3 citations · 2014
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