Lea Turriziani

Papers

Total Citations

H-Index

About

Lea Turriziani investigates how robots can safely and intuitively navigate public spaces shared with humans, focusing on the critical moments when coordination breaks down. Her work centers on external Human-Machine Interfaces (eHMI) for mobile robots—visual, auditory, or gestural signals that allow robots to communicate their intentions to passersby who are not directly involved in the robot’s task. In her most-cited paper, "Robots on the road," she explores how eHMI concepts can resolve ambiguous or hazardous encounters in urban environments, balancing the need for salience and clarity with the equally important requirement of being unobtrusive. This research bridges insights from automated vehicle communication and social robotics, offering design principles for robots that must negotiate space with laypersons. While her citation count is still growing, Turriziani’s work addresses a foundational challenge in human-robot interaction: making robots socially legible without overwhelming or alarming the public. Her contributions are particularly timely as delivery robots, service bots, and autonomous shuttles become more common on sidewalks and streets, and her findings help shape how these machines earn the trust and cooperation of the people around them.