Prasad Vagdargi
Papers
13
Total Citations
100
H-Index
5
About
Prasad Vagdargi is a biomedical engineer whose research lies at the intersection of surgical robotics, computer vision, and medical device design, with a focus on restoring sensory feedback and improving navigation in minimally invasive surgery. His most impactful contribution is the development of an inexpensive tri-axial force sensor for minimally invasive surgery (28 citations), which uses force-sensitive resistors to regain the sense of touch during procedures. He has also pioneered methods for robust registration with sparse measurements (15 citations), enabling accurate surgical guidance with limited data—critical for applications like probing-based registration. In neurosurgery, Vagdargi has advanced robot-assisted ventriculoscopy for 3D image reconstruction and guidance of deep brain procedures (11 citations), addressing the challenge of soft-tissue deformation that limits conventional neuronavigation. His work extends to real-time 3D video reconstruction using SLAM for transventricular neurosurgery (9 citations) and a novel mosquito pick-and-place system for malaria vaccine production (8 citations), showcasing his versatility. With over 90 total citations across his publications, Vagdargi’s contributions are shaping the future of surgical robotics, from orthopaedic trauma to deep-brain stimulation.
Research Focus
Key Achievements
Top Papers
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- 2Registration with a small number of sparse measurements15 citations · 2019
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- 7Sparse Point Registration5 citations · 2019
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- 9Image-guided robotic k-wire placement for orthopaedic trauma surgery4 citations · 2020
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