Max Robotics — Global Service Robot Directory + US Certification

About

Gloria Menegaz is a pioneering researcher at the intersection of neurophysiology and robotic surgery, whose work is fundamentally reshaping how we understand and train for robot-assisted procedures. Her primary research areas encompass the neurophysiological assessment of surgical training, EEG-based workload evaluation, and the neural mechanisms underlying hand-eye coordination in motor tasks. Menegaz's most significant contributions include developing objective neurophysiological measures to assess training proficiency during simulated robot-assisted laparoscopic surgery, a breakthrough that addresses the critical challenge of quantifying surgical skill acquisition beyond traditional metrics. Her landmark 2016 study (16 citations) established foundational methods for using neurophysiological signals to evaluate user training, while her 2019 work (13 citations) introduced an EEG-based workload index as a taxonomic tool for comparing different robotic surgery systems. Menegaz has also made notable contributions to understanding the posterior parietal cortex's role in stereopsis and hand-eye coordination during motor tasks (2014, 8 citations), and has recently extended her expertise to address safety and privacy concerns in Industry 4.0 environments (2024, 4 citations). Her work bridges neuroscience, human factors engineering, and surgical robotics, offering transformative insights for improving surgical training and human-robot interaction.