Gabriela Rus
Papers
8
Total Citations
70
H-Index
4
About
Gabriela Rus is a pioneering researcher at the intersection of robotics, artificial intelligence, and medicine, with a primary focus on advancing minimally invasive surgery and neuromotor rehabilitation. Her most impactful work centers on developing intelligent systems for single-incision laparoscopic surgery (SILS), where she has created innovative parallel robots and integrated AI-based hazard detection systems to address the unique challenges of these complex procedures. Rus has also made significant contributions to surgical training, developing augmented reality (AR) and virtual reality (VR) simulators that provide safe, immersive environments for surgeons to master robotic-assisted techniques. Her research extends to rehabilitation robotics, where she combines AR and serious gaming to enhance lower limb recovery for patients with stroke, ALS, and Parkinson’s disease. With her top-cited paper on AI-based hazard detection in robotic-assisted oncologic surgery accumulating 27 citations, and her work on SILS robot modeling reaching 14 citations, Rus’s research demonstrates clear impact. Her recent publications on sensor-based classification for neuromotor rehabilitation and AR surgical trainers for pancreatic surgery highlight her ongoing commitment to translating cutting-edge technology into practical clinical solutions that improve patient outcomes and surgical training.
Research Focus
Key Achievements
Top Papers
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- 7Kinematic Analysis of a Parallel Robot for Minimally Invasive Surgery3 citations · 2024
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