Olivia Nocentini
Papers
6
Total Citations
227
H-Index
6
About
Olivia Nocentini is a researcher specializing in human-robot interaction (HRI), service robotics, and deep learning applications for autonomous systems. Her work sits at the intersection of behavioral modeling, computer vision, and tactile sensing, with a particular focus on developing robots capable of meaningful collaboration with humans in everyday environments. Nocentini's most influential contribution is her widely cited survey on behavioral models for social robots (2019, 100+ citations), which has become an important reference point for researchers navigating the complex landscape of HRI design. This work, alongside a closely related companion survey, underscores her commitment to synthesizing and advancing foundational knowledge in the field. Her research extends into practical applications, including deep learning-based image classification for service robotics, automated recycling systems, and tactile-based object recognition — the latter addressing critical limitations of purely visual sensing in obstructed environments. More recently, Nocentini has turned her attention to assistive robotics, exploring learning-based approaches for cloth manipulation and dressing assistance to support aging populations. With a growing citation record across multiple research threads, her work reflects both breadth and depth, making her a notable emerging voice in the development of intelligent, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Behavioral Models for Social Robots100 citations · 2019
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- 3A Survey of Behavioural Models for Social Robots35 citations · 2019
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