About

Nabil Zemiti is a prominent researcher specializing in medical robotics, force control systems, and minimally invasive surgical technologies. His work sits at the intersection of mechatronics, surgical robotics, and human-machine interaction, with a sustained focus on improving the safety, precision, and effectiveness of surgical interventions. Zemiti's most influential contribution is his mechatronic design of force-controlled robots for minimally invasive surgery, a landmark 2007 paper that has garnered over 160 citations. Recognizing that surgeons lose critical tactile feedback when operating through long instruments, he pioneered force feedback control schemes to restore dexterity and compensate for physiological organ motion caused by respiration and heartbeat. His Light Puncture Robot (LPR), compatible with both CT and MRI environments, demonstrated remarkable innovation in image-guided percutaneous procedures, earning nearly 120 combined citations across related publications. Beyond hardware design, Zemiti has advanced surgical training through unsupervised trajectory segmentation for gesture recognition, cited over 115 times, enabling deeper skill assessment for trainee surgeons. His more recent work explores EMG-based finger force estimation using machine learning, reflecting his evolving interest in human-robot interfaces and rehabilitation. Collectively, his research portfolio — exceeding 670 citations — represents a significant and enduring contribution to the field of intelligent surgical robotics.

Research Focus

Key Achievements

15
H-Index
40
Papers
949
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Mechatronic Design of a New Robot for Force Control in Minimally Invasive Surgery
162 citations · 2007
📈 Most Prolific Year: 2008 (4 Papers)
🤝 Key Collaborators: 93
🏛 Institutions: Sorbonne Université, Centre National de la Recherche Scientifique, Translational Innovation in Medicine and Complexity, CEA Paris-Saclay - Etablissement de Fontenay-aux-roses, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Université de Montpellier

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago