About

Andrei Vorotnikov’s research sits at the critical intersection of industrial robotics and precision medicine, where he develops quantitative frameworks to compare robotic and human performance in high-stakes surgical and manufacturing tasks. His work is unified by a central question: how do we rigorously measure and validate that a robot’s movement is not just repeatable, but truly superior to a skilled human’s? Vorotnikov has pioneered the use of cutting velocity accuracy and standard deviation from a given trajectory as core criteria for this comparison, applying these metrics to domains ranging from maxillofacial surgery to laser cutting in the medical industry. His most cited papers (each garnering 15–18 citations) establish these benchmarks, while his later work advances the practical implementation of robotic surgery, including a prototype probe that combines a force sensor and diode laser for precise gum tissue cutting. By also contributing to industrial robot calibration—using laser trackers and geometrical models to improve absolute accuracy—Vorotnikov bridges the gap between factory-floor precision and the operating room, demonstrating that the same principles governing a robot’s weld path can guide a surgeon’s laser incision.

Research Focus

Key Achievements

8
H-Index
14
Papers
145
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Cutting velocity accuracy as a criterion for comparing robot trajectories and manual movements for medical industry
18 citations · 2017
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: University of Technology, Lomonosov Moscow State University, Moscow State Technological University, Murmansk State Technical University, Moscow State University of Medicine and Dentistry

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago