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About

Andra Ciocan is a pioneering researcher at the intersection of robotics and minimally invasive surgery, with a primary focus on developing advanced robotic systems for pancreatic procedures. Her major contributions include the design and optimization of parallel robots, such as the PARA-SILSROB, specifically tailored for laparoscopic pancreatic surgery, where she addresses the challenges of precision in complex anatomical environments. Ciocan has also advanced surgical training through augmented reality simulators and 3D-printed anatomical pancreas models, enhancing preoperative planning and skill acquisition. Her work on robot-guided ultrasonography further expands the capabilities of surgical interventions. With over 18 citations across her most-cited papers, including the notable "Design Optimization of a Parallel Robot for Laparoscopic Pancreatic Surgery Using a Genetic Algorithm" (4 citations), Ciocan demonstrates significant impact in a specialized field. Her achievements in control validation and accuracy assessment of surgical robots underscore her commitment to translating theoretical designs into clinically viable tools, making her a key figure in the evolution of personalized, robot-assisted surgery.