Papers

27

Total Citations

670

H-Index

14

About

Carlo Seneci is a pioneering researcher in medical robotics and minimally invasive surgical systems, whose work has substantially advanced the capabilities of robotic platforms for complex endoscopic and surgical interventions. His research spans snake-like and continuum robotic systems, single-port surgical platforms, and intelligent human-machine interfaces — fields where he has made foundational contributions that bridge engineering innovation with clinical application. Seneci's most influential work includes the i2Snake robotic platform (124 citations), which dramatically improved instrument dexterity for endoscopic procedures through natural orifices, and a single-port robotic system for transanal microsurgery (74 citations) that offers a compelling alternative to conventional techniques. His contributions extend to neural-network-based EMG classifiers for predicting hand grasp movements (73 citations), demonstrating his versatility across surgical robotics and assistive technologies. Further notable achievements include optimized tendon-driven snake robot joint design, multi-arm continuum robots for delicate ophthalmic procedures, and transcranial endoscope-assisted microsurgery systems. With over 480 cumulative citations across his top publications, Seneci's research has meaningfully shaped how surgeons access confined anatomical workspaces — reducing patient trauma while expanding procedural precision. His body of work represents an essential reference for researchers and clinicians working at the intersection of robotics, biomechanics, and surgical innovation.

Research Focus

Key Achievements

14
H-Index
27
Papers
670
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
The i2Snake Robotic Platform for Endoscopic Surgery
124 citations · 2018
📈 Most Prolific Year: 2017 (6 Papers)
🤝 Key Collaborators: 78
🏛 Institutions: Imperial College London, King's College London, London Vision Clinic

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago