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About

Bogdan Gherman is a prominent robotics researcher whose work sits at the intersection of medical robotics, parallel robot design, and rehabilitation engineering. Over more than a decade of prolific scholarship, he has made significant contributions to two primary domains: minimally invasive surgical robotics and robotic-assisted rehabilitation systems. Gherman's early work focused on the kinematic and dynamic modeling of hybrid parallel robots for laparoscopic and minimally invasive surgery, with foundational papers from 2009 to 2013 accumulating over 65 citations each. His development of inverse dynamic models and novel surgical instrument orientation modules helped establish rigorous theoretical frameworks for safe, precise robotic surgery. Notably, his 2013 paper on active hybrid parallel robots for minimally invasive surgery remains his most cited work, reflecting its lasting influence on the field. Shifting toward rehabilitation, Gherman pioneered safety-focused design methodologies for robotic rehabilitation devices, applying fuzzy logic-based risk assessment and reliability engineering — work that has collectively garnered over 160 citations. His interdisciplinary collaboration with neurologists, evidenced by multimodal neurophysiological studies of robotic rehabilitation outcomes in stroke patients, further demonstrates the real-world clinical relevance of his engineering innovations. His portfolio represents a sustained commitment to making medical robotics safer, smarter, and more impactful for patients worldwide.