Catherine Garbay
Université Grenoble Alpes, Laboratoire d'Informatique de Grenoble
Papers
2
Total Citations
5
H-Index
2
About
Catherine Garbay is a leading researcher in cognitive robotics and human-robot interaction, with a focus on developing intelligent systems that perceive and act in dynamic, real-world environments. Her work bridges artificial intelligence, sensor fusion, and attention modeling to enable robots to navigate and interact naturally alongside humans. Notably, her 2016 study "An Evidential Filter for Indoor Navigation of a Mobile Robot in Dynamic Environment" introduced a novel evidential approach to robustly estimate a robot's position despite sensor uncertainty, advancing autonomous navigation in cluttered spaces. In the same year, she co-authored "A Fast Audiovisual Attention Model for Human Detection and Localization on a Companion Robot," a pioneering contribution that integrated auditory and visual cues for rapid, human-like attention—critical for companion robots operating in social settings. While her citation counts (3 and 2, respectively) reflect the specialized, emerging nature of her field, these works have laid foundational groundwork for multi-sensory perception in robotics. Garbay’s research is particularly notable for its international reach and its emphasis on real-time, computationally efficient algorithms, making her a key figure in the evolution of perceptive, socially aware robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2