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About

Florent Ferreri is a leading researcher in socially-aware robotics, focusing on how autonomous systems can perceive, navigate, and interact with humans in public spaces. His work bridges human-robot interaction, autonomous navigation, and social perception, with a strong emphasis on comfort and natural behavior. Ferreri’s most cited paper (86 citations) introduces a human-like guide robot that proactively identifies museum visitors and explains exhibits using a novel “speak-and-retreat” interaction, demonstrating how robots can engage people socially without being intrusive. He also pioneered the Human-Comfortable Path Planner (HCoPP) for autonomous vehicles (47 citations), addressing the underexplored challenge of passenger comfort rather than just collision avoidance. His research extends to robotic wheelchairs, where he developed discomfort maps for smoother navigation (34 citations), and to pedestrian tracking systems that automatically calibrate laser range finders using social group detections (23 citations). Ferreri’s work on network robot systems (20 citations) provides a foundational framework for deploying social robots in real-world environments. By integrating human factors into path planning, affordance mapping, and long-term spatial analysis, Ferreri has advanced the development of robots that are not only functional but also socially and physically comfortable to be around.