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About

Michel Dominici is a robotics and control systems researcher whose work has significantly advanced the field of robotic-assisted cardiac surgery. His research centers on the challenging problem of physiological motion compensation — developing intelligent control strategies that allow surgical robots to maintain precise contact with a beating heart despite the continuous, complex movements induced by both heartbeats and respiration. Dominici's most influential contribution, "Robot Force Control on a Beating Heart" (2017, 27 citations), introduced a double active observer architecture that enables precise force control during cardiac interventions — a critical breakthrough for safe autonomous robotic surgery. His earlier foundational work on linear predictive force control (2008, 16 citations) established core algorithmic approaches still referenced in the field today. Across multiple publications, he has systematically refined cascaded control architectures combining model predictive control with active observer techniques, progressively extending these solutions into full 3D surgical environments. With a body of work accumulating nearly 100 citations, Dominici has made meaningful contributions to minimally invasive surgery robotics, directly addressing real clinical challenges such as reduced infection risk and improved surgical precision. His research represents a compelling bridge between advanced control theory and life-critical medical applications, making his work essential reading for engineers and researchers working at the intersection of robotics and healthcare.