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About

Raphael Zimmermann’s research lies at the intersection of haptic robotics, rehabilitation engineering, and human–machine interaction, with a particular focus on stroke recovery. He is best known for developing the ETHZ Haptic Paddle, a low-cost, one-degree-of-freedom force feedback device that has become a cornerstone for teaching physical human–robot interaction (pHRI) at universities worldwide. This work, cited 33 times, demonstrates his ability to create accessible tools that bridge theoretical concepts with hands-on learning. Zimmermann’s major contributions extend to detecting motor intention in neurologic patients, a critical step for triggered-assistance robotic therapy. His 2012 study on autonomic nervous system responses (16 citations) showed that physiological signals can reliably indicate movement execution, enabling more effective, patient-driven rehabilitation. He further advanced this concept in a 2011 paper (13 citations) by integrating functional near-infrared spectroscopy (fNIRS) with biosignal recordings to form a brain-body-robot interface (B²RI) for sensorimotor training. This pioneering work, which combines neural and physiological data, holds promise for personalized stroke therapy. Zimmermann’s research not only advances fundamental understanding of human motor control but also translates directly into practical, low-cost solutions for education and clinical rehabilitation.