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About

Cristian Abrudan is a leading researcher in the field of medical robotics, specializing in the design and control of parallel robotic systems for neurorehabilitation. His work focuses on developing safe, sensor-rich robotic platforms for upper and lower limb therapy, with a particular emphasis on torque monitoring and human–robot interaction. Abrudan’s major contributions include the creation of the NeuroAssist robotic system, a parallel robot for brachial monoparesis rehabilitation that integrates internal torque sensors and external patient monitoring for enhanced safety and efficacy. His pilot study on NeuroAssist (23 citations) demonstrated promising results for motor recovery of the upper limb. He has also advanced the dynamic modeling of rehabilitation robots, such as the ParReEx mechanism for wrist therapy and an inverse dynamic model for elbow spasticity treatment. With over 70 total citations across his most-cited works, Abrudan’s research is instrumental in bridging the gap between robotic precision and clinical rehabilitation needs. His notable achievements include the development of real-time bio-signal analysis for adaptive therapy and design improvements for lower limb rehabilitation robots, positioning him as a key innovator in safe, patient-centered robotic therapy.