E. Bauzano
Papers
12
Total Citations
152
H-Index
7
About
E. Bauzano is a leading researcher in surgical robotics, specializing in autonomous and collaborative systems for minimally invasive surgery (MIS). His work focuses on developing intelligent robotic assistants that enhance surgical precision and autonomy, particularly in hand-assisted laparoscopic surgery (HALS) and endonasal procedures. Bauzano’s major contributions include pioneering cognitive camera robotic assistants that autonomously adjust the surgical view, and gesture recognition algorithms that enable seamless human–robot collaboration. His most cited paper, “Transferring Know-How for an Autonomous Camera Robotic Assistant” (34 citations), demonstrates how robotic platforms can reduce surgeon workload while improving stability. Another influential work, “Collaborative Human–Robot System for HALS Suture Procedures” (32 citations), advances cooperative surgical techniques. Bauzano has also explored force-position control for miniature camera robots and maneuver recognition using neural networks and hidden Markov models. His research has been validated through in-vitro trials, notably for endonasal surgery. With over 150 total citations, Bauzano’s work is shaping the next generation of cognitive, collaborative surgical robots, making procedures safer and more efficient.
Research Focus
Key Achievements
Top Papers
- 1Transferring Know-How for an Autonomous Camera Robotic Assistant34 citations · 2019
- 2Collaborative Human–Robot System for HALS Suture Procedures32 citations · 2014
- 3A Gesture Recognition Algorithm for Hand-Assisted Laparoscopic Surgery15 citations · 2019
- 4Towards a cognitive camera robotic assistant13 citations · 2014
- 5A minimally invasive surgery robotic assistant for HALS–SILS techniques13 citations · 2013
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- 9Three-layer control for active wrists in robotized laparoscopic surgery7 citations · 2009
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