Papers
5
Total Citations
23
H-Index
3
About
Amir Trabelsi is a leading researcher in medical robotics, with a focused expertise in developing and optimizing robotic systems for minimally invasive surgery, particularly laparoscopy. His major contributions center on enhancing the precision and performance of surgical platforms through digital innovation and advanced optimization. Notably, Trabelsi pioneered the development of a Franka Emika Cobot Simulator Platform (CSP) specifically for medical applications, a foundational work that has garnered 9 citations. He further advanced the field by designing and implementing a Digital Twin for a multi-robot surgical platform, a cutting-edge approach that allows for real-time simulation and control. His work on optimal multi-robot placement, based on capability maps, has been crucial for maximizing the effectiveness of robot-assistant camera holders in the operating room. With over 20 citations across his key publications, Trabelsi’s research is shaping the future of surgical robotics, bridging the gap between theoretical optimization and practical, validated tele-operation systems for complex medical tasks.
Research Focus
Key Achievements
Top Papers
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