Anthony J. Munaco

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About

Anthony J. Munaco’s research centers on human–robot interaction and task analysis in minimally invasive surgery, with a particular focus on optimizing laparoscopic camera control. His most-cited work, “Task analysis of laparoscopic camera control schemes” (2015, 20 citations), systematically evaluates traditional and robotic camera-guidance methods, revealing critical insights into how surgeons interact with visual feedback during procedures. By breaking down the cognitive and physical demands of camera operation, Munaco’s analysis provides a foundational framework for designing more intuitive robotic assistants—reducing surgeon workload and improving procedural efficiency. This contribution bridges the gap between surgical ergonomics and automation, influencing subsequent studies on shared control and user-centered design in operating rooms. His work is notable for its practical impact on training protocols and the development of semi-autonomous camera systems, marking him as a key voice in advancing human–robot collaboration for safer, more effective surgeries.