Papers

57

Total Citations

1,288

H-Index

22

About

Anton Deguet is a prominent researcher at the intersection of surgical robotics, computer-assisted intervention, and human-robot collaboration. His work has fundamentally shaped the infrastructure underpinning modern surgical robotics research, most notably through his sustained contributions to the da Vinci Research Kit (dVRK) — an open-source platform now deployed at over 25 institutions worldwide. His 2021 review of a decade of dVRK research has garnered 150 citations, reflecting its status as a cornerstone reference in the field. Deguet's software contributions, including the cisst libraries and modular robot control frameworks developed in the mid-2000s, provided the field with critical open-source tools that lowered barriers to reproducible research. Beyond infrastructure, his work spans augmented reality for surgical assistance, vision-based robot calibration, haptic feedback evaluation, virtual fixtures for suturing, and, most recently, language-conditioned autonomous surgery via imitation learning. His 2018 ARssist paper (101 citations) exemplifies his ability to translate systems thinking into clinically meaningful applications. With a portfolio spanning nearly two decades and consistently high-impact publications, Deguet represents a vital engineering force driving surgical robotics from laboratory concept to clinical relevance.

Research Focus

Key Achievements

22
H-Index
57
Papers
1,288
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit
150 citations · 2021
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 166
🏛 Institutions: Johns Hopkins University, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 33 days ago