Renzo Cecere
Papers
5
Total Citations
135
H-Index
4
About
Renzo Cecere is a leading researcher in the field of surgical robotics, with a primary focus on enhancing tactile feedback and modeling for minimally invasive procedures. His most impactful work centers on developing novel optical fiber tactile sensors for robotic surgery systems, as demonstrated by his highly cited 2011 paper (102 citations) on a discretely loaded beam-type sensor for tissue manipulation and palpation. This work addresses a critical limitation in current robotic systems—the absence of direct tactile feedback—enabling surgeons to "feel" hidden anatomical structures during surgery. Cecere has also made significant contributions to soft robotics, including hyperelastic modeling of hybrid-actuated robots with pressure-stiffening capabilities (2023), and the Finite Arc Method, a fast-solution model for soft robots with large variable curvature deformations (2024). His recent work on augmented reality-enhanced robotic systems for epidural interventions (2024) showcases his commitment to improving precision in high-risk medical procedures. With over 135 citations across his key publications, Cecere’s research is driving the next generation of safer, more intuitive surgical tools.
Research Focus
Key Achievements
Top Papers
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