Ilaria Ciuffreda
Papers
6
Total Citations
71
H-Index
5
About
Ilaria Ciuffreda is a researcher specializing in assistive robotics, human localization systems, and sensor fusion technologies, with a particular focus on improving the quality of life for older adults in indoor environments. Her most influential work centers on the development of sophisticated multi-sensor platforms integrated into socially assistive robots (SARs), combining passive infrared (PIR) sensors, ultrasonic arrays, audio processing, and computer vision to reliably detect and localize people within domestic settings. Ciuffreda's most celebrated contribution is her role in the GUARDIAN ecosystem project, which earned 23 citations within two years of publication, alongside her multi-sensor fusion localization system, which has attracted 24 citations. Together, these works demonstrate her ability to bridge hardware engineering with real-world assistive applications. Her direction-of-arrival (DOA) audio processing methodology and RGB camera validation studies further illustrate her versatile, systems-level approach to human detection. Beyond technical development, Ciuffreda's field study examining user experiences with SARs highlights her commitment to human-centered design, revealing critical gaps in interactivity and personalization that current robotic systems must address. With a growing citation record spanning sensor engineering, robotics, and gerontechnology, she is establishing herself as a meaningful contributor to the future of intelligent assisted living.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6