Payal Nandi
Papers
1
Total Citations
2
H-Index
1
About
Payal Nandi’s research lies at the intersection of collaborative robotics, adaptive automation, and intelligent manufacturing systems, with a growing focus on healthcare applications. As a key contributor to the Collaborative Robotics and Adaptive Machines Laboratory at Old Dominion University, Nandi has advanced the frontier of human-robot interaction by developing strategies for non-repetitive micro-drilling tasks—enabling robots to work safely alongside humans in precision manufacturing. Notably, Nandi’s work on hand-held robotic systems for spillage-free specimen retrieval addresses critical challenges in medical sample handling, demonstrating a direct translational impact from lab to clinic. While still early in their career, with over 2 citations on their most-cited paper, Nandi’s research agenda signals a commitment to solving real-world problems through adaptive, collaborative robotics. Their work is particularly relevant for students and researchers interested in how autonomous systems can augment human capabilities in both industrial and healthcare settings, bridging the gap between theoretical robotics and practical, user-centered design.
Research Focus
Key Achievements
Top Papers
- 1