Richa Aggarwal
Papers
1
Total Citations
3
H-Index
1
About
Richa Aggarwal is a pioneering researcher at the intersection of robotics, computer vision, and anesthesiology, whose work is redefining autonomous medical systems. Her primary research areas include robotic ultrasound guidance, nerve block localization, and real-time needle tracking for regional anesthesia. Her most significant contribution is the development of a visual servoing framework that enables autonomous robotic systems to administer ultrasound-guided regional anesthesia with unprecedented precision. By recruiting 227 patients to construct a large-scale clinical dataset, she advanced the real-time segmentation of nerves and needle trajectory extrapolation—a critical step toward fully autonomous procedures. Her landmark 2024 paper, which has already garnered 3 citations, demonstrates the practical feasibility of integrating deep learning with robotic control in a clinical setting. This work not only addresses the challenge of needle tip localization but also sets a new standard for safety and accuracy in automated medical interventions. Aggarwal’s research holds transformative potential for reducing human error, improving patient outcomes, and expanding access to regional anesthesia in resource-limited settings.
Research Focus
Key Achievements
Top Papers
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