Papers
9
Total Citations
72
H-Index
6
About
Consuelo Granata is a robotics researcher whose work sits at the intersection of social robotics, human-robot interaction, and assistive technologies for vulnerable populations. Her research focuses on designing intelligent behaviors for social mobile robots, with particular emphasis on enabling robots to perceive, track, and meaningfully respond to human presence in domestic and care environments. Granata's most cited contribution, a framework for person-following behaviors in social robots (21 citations), established a structured three-level architecture—perception, decision, and action—that has informed subsequent work in interactive robot design. Complementing this, her human detection systems combining laser and vision-based sensing demonstrate her technical rigor in solving real-world perception challenges. A defining thread throughout her career is the application of robotics to elder care and cognitive health. Projects such as ROBADOM and the QuoVADis initiative explore how domestic robots can support older adults with mild cognitive impairment, addressing both psychological impact and usability of graphical interfaces. Her later work on multilayer human activity understanding, incorporating body movement and contextual descriptors, reflects a sophisticated evolution toward richer human-robot communication. Through the ASSESSTRONIC project, she has extended this expertise into clinical geriatric assessment. Collectively, her contributions have shaped how assistive robots understand and interact with people in everyday life settings.
Research Focus
Key Achievements
Top Papers
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- 4A human detection system for proxemics interaction7 citations · 2011
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- 6Human whole body motion characterization from embedded Kinect6 citations · 2013
- 7Interactive person following for social robots5 citations · 2011
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