Nima Najmaei
Papers
10
Total Citations
234
H-Index
7
About
Nima Najmaei is a multidisciplinary robotics and medical imaging researcher whose work spans two interconnected domains: human-robot interaction safety and medical robotics. His most influential contributions lie in visual servoing for surgical applications, culminating in a landmark two-part survey series (2013–2014) that systematically examined how image-guided feedback — from endoscopic to tomographic modalities — can enhance precision in medical procedures, collectively attracting over 100 citations. Complementing this, his work on image-guided renal and hepatic interventions (2012) demonstrates a practical commitment to advancing minimally invasive clinical techniques. A significant thread of Najmaei's research addresses the critical challenge of keeping humans safe alongside industrial robots. Through a series of publications beginning in 2009, he developed superquadric-based human body modeling frameworks, dynamic danger evaluation metrics, and prediction-based reactive control strategies that enable robots to anticipate and avoid human motion in real time. His 2010 paper on artificial intelligence in human-robot interactions (47 citations) remains particularly well-regarded in the field. Cumulatively, with over 230 citations across his published work, Najmaei has made meaningful contributions toward safer, smarter robotic systems in both industrial and surgical environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Applications of Artificial Intelligence in Safe Human–Robot Interactions47 citations · 2010
- 3Image-guided techniques in renal and hepatic interventions30 citations · 2012
- 4Prediction-based reactive control strategy for human-robot interactions25 citations · 2010
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- 6Human factors for robot safety assessment14 citations · 2010
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