Prateek Mathur
Papers
5
Total Citations
102
H-Index
5
About
Prateek Mathur is a leading researcher at the intersection of surgical robotics and augmented reality (AR), with a focus on enhancing human–robot interaction during minimally invasive procedures. His work centers on developing intuitive, real-time guidance systems that bridge the gap between robotic surgical platforms and clinical practice. Mathur’s major contributions include pioneering marker-less, intra-operative calibration techniques for surgical AR, enabling accurate camera and hand-eye transformations without disrupting workflow—a critical advancement for procedures like robot-assisted laparoscopic radical prostatectomy. His 2019 review on human–robot interaction in surgical robotics, with 48 citations, established foundational design requirements for in vivo robotic systems, influencing subsequent developments in the field. Notably, his work on a “pickup” stereoscopic camera for the da Vinci system (19 citations) introduced visual-motor aligned control, improving surgeon dexterity. With over 100 total citations across his most-cited papers, Mathur’s research has directly impacted the feasibility of transperineal 3D ultrasound guidance and AR-assisted navigation, pushing toward safer, more precise robotic surgeries. His achievements underscore a commitment to translating complex engineering into practical, life-saving clinical tools.
Research Focus
Key Achievements
Top Papers
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