Papers
12
Total Citations
125
H-Index
7
About
Deepak Raina is a versatile robotics researcher whose work spans two fascinating frontiers: space robotics and medical robotics, with a particular focus on autonomous systems and intelligent control. His early contributions centered on multi-arm space robots, where he developed sophisticated impact modeling and reactionless control strategies for capturing and maneuvering tumbling orbiting objects — a technically demanding challenge critical to satellite servicing and orbital debris management. Raina has since made substantial strides in robotic ultrasound, an area where his work has garnered significant attention, accumulating over 70 citations across related publications. Motivated in part by the cross-infection risks exposed during the COVID-19 pandemic, he pioneered telerobotic and autonomous ultrasound systems capable of performing abdominal and urinary imaging with minimal human contact. His innovative application of Bayesian optimization — including deep kernel estimators and probe normalization techniques — has pushed the boundaries of autonomous robotic sonography, reducing reliance on expert operators while maintaining diagnostic image quality. More recently, Raina has explored reinforcement learning approaches that allow robots to learn sonography skills through sparse expert feedback, advancing the accessibility and scalability of clinical ultrasound. His work represents a compelling blend of precision engineering and real-world healthcare impact.
Research Focus
Key Achievements
Top Papers
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- 5Robotic ultrasound: An initial feasibility study11 citations · 2022
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