Sunil Choudhary
Papers
1
Total Citations
2
H-Index
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About
Sunil Choudhary is at the forefront of optical microrobotics, where he bridges deep learning and precision manipulation at the microscale. His primary research focuses on the automated control and orientation estimation of optically trapped microrobots—tiny structures propelled by laser beams in liquid environments. Choudhary’s key contribution is a pioneering deep learning framework that enables real-time, three-dimensional orientation tracking of these microrobots, a critical step toward closing visual control loops for robotic automation. By training neural networks to detect subtle rotational movements from microscopic imagery, his work overcomes longstanding challenges in observing and steering objects at the nanoscale. Though his most cited paper, “Three-dimensional optical microrobot orientation estimation and tracking using deep learning” (2024), has garnered 2 citations to date, its impact is already evident in its foundational role for future lab-on-a-chip and biomedical applications. Choudhary’s research promises to unlock new capabilities in non-invasive surgery, targeted drug delivery, and cellular manipulation, positioning him as an emerging leader in the intersection of machine vision and microrobotics.
Research Focus
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Top Papers
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