Max Robotics — Global Service Robot Directory + US Certification

About

Matthew Gray is a pioneering figure at the intersection of robotic surgery and performance studies, whose work is redefining how surgeons and machines learn. His primary research areas include robotic surgical training, simulation-based education, and human-robot interaction. Gray’s most impactful contribution is his 2022 study on the transferability of robotic console skills across different platforms, which has garnered 39 citations and is essential reading for institutions adapting to new surgical robots. He also led an international Delphi consensus (2024) establishing global standards for robotic training curricula, a foundational achievement for the field. Beyond the operating room, Gray’s creative work is equally notable: his 2012 video "Acting lesson with robot," in which he tutors a Nao robot in Chekhov’s Psychological Gestures, has earned 9 citations and showcases his unique ability to bridge technical training with the humanities. This interdisciplinary approach—combining rigorous surgical education research with performance theory—makes Gray a distinctive voice in medical simulation, offering fresh insights into how both humans and machines can learn more expressively and effectively.