Federica Bazzano
Papers
6
Total Citations
64
H-Index
5
About
Federica Bazzano is a researcher at the forefront of human-robot interaction (HRI), specializing in designing intuitive interfaces that bridge the gap between people and service robots. Her work focuses on how users perceive and accept robots in everyday settings, from receptionist duties to wayfinding. Bazzano’s most cited paper (27 citations) explores humanoid robots as social assistants, while her research on robotic telepresence (10 citations) examines how interface design impacts remote navigation. She has pioneered the use of immersive virtual reality simulations to prototype natural robot interfaces, and her innovative work on robotic gaming (7 citations) investigates how autonomous behaviors and emotional features—including drone-based games—can enhance user engagement. Bazzano’s studies on field of view in telepresence navigation further demonstrate her commitment to optimizing user experience. With a portfolio that blends technical rigor with user-centered design, she has contributed foundational insights into how robots can become trusted, effective partners in human environments. Her work is essential reading for anyone interested in making service robots more accessible and socially acceptable.
Research Focus
Key Achievements
Top Papers
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- 3Comparing Usability of User Interfaces for Robotic Telepresence10 citations · 2017
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- 6The Impact of Field of View on Robotic Telepresence Navigation Tasks2 citations · 2019