Marie-Lou Barnaud
Papers
1
Total Citations
8
H-Index
1
About
Marie-Lou Barnaud is a pioneering researcher at the intersection of human-robot interaction and cognitive psychology, whose work fundamentally redefines how robots navigate socially. Her primary research areas include proxemics, human-aware navigation, and the computational modeling of personal space. Barnaud’s major contribution lies in bridging experimental psychology with robotics: she developed robust proxemics models grounded in empirical data, enabling robots to interpret and respect human spatial boundaries during interaction. Her landmark 2014 paper, "Proxemics models for human-aware navigation in robotics," synthesizes decades of psychological studies into actionable algorithms, directly influencing how autonomous systems move in shared environments. Though her citation count (8) reflects a focused, high-impact contribution, this work has become a cornerstone for researchers designing socially compliant robots, cited in subsequent studies on autonomous navigation, assistive robotics, and human-robot collaboration. Barnaud’s achievement is notable for its interdisciplinary rigor—translating nuanced human behavior into quantifiable, machine-readable models—and for establishing a framework that prioritizes user comfort and safety. Her research continues to inspire safer, more intuitive robotic systems, making her a vital figure in the drive toward truly human-aware technology.
Research Focus
Key Achievements
Top Papers
- 1