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About

Domenico Formica is a biomedical engineer and neuroscientist whose research sits at the intersection of human motor control, rehabilitation robotics, and wearable sensing technologies. His most influential work spans biomechanics, robotic-assisted therapy, and clinical assessment tools, earning him over 500 citations across a diverse body of scholarship. Formica's foundational contributions include a landmark investigation into the passive stiffness of the wrist and forearm (121 citations), which established critical baseline knowledge for understanding how humans plan and execute coordinated limb movements. This work directly informed his parallel research on robot-mediated motor therapy, where he developed compliance control strategies and impedance-reduction techniques to preserve natural human motor strategies during rehabilitation. His studies on Donders' law and wrist kinematics further illuminated how robots should be designed to minimally perturb voluntary movement. Beyond rehabilitation, Formica has made significant strides in clinical neurology, developing gyroscope-based tools for quantifying bradykinesia in Parkinson's disease and advancing robotic systems for Transcranial Magnetic Stimulation. His work on IMU orientation accuracy and MRI-compatible tactile sensors reflects a commitment to rigorous instrumentation validation. More recently, his explorations into supernumerary robotic limbs and avatar embodiment push the boundaries of human augmentation, making his research portfolio both clinically grounded and boldly forward-looking.