David Mihai Lupu

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About

David Mihai Lupu is a leading researcher in the fields of rehabilitation robotics and adaptive control systems, with a particular focus on human–robot interaction for medical applications. His most notable contribution is the development of a fuzzy adaptive control system for a 4-DOF hand rehabilitation robot, which intelligently adjusts therapy based on real-time patient feedback. This pioneering work, published in 2025, introduces a fuzzy-PID controller capable of seamlessly transitioning between three distinct interaction modes—passive, active-assisted, and active-resistive—by continuously monitoring patient evolution during rehabilitation. The system’s ability to adapt to individual patient needs represents a significant advancement in personalized robotic therapy, offering more targeted and effective recovery protocols. With his research already garnering early citations, Lupu’s work is poised to influence the next generation of smart rehabilitation devices. His contributions bridge the gap between control theory and clinical practice, demonstrating how adaptive algorithms can enhance motor recovery in stroke and injury patients. Lupu’s innovative approach marks him as an emerging authority in the intersection of fuzzy logic control and medical robotics.