Papers
25
Total Citations
475
H-Index
13
About
Jean-Bernard Hayet is a robotics and computer vision researcher whose work has profoundly shaped the fields of mobile robot navigation, human-robot interaction, and vision-guided locomotion. His early contributions in the 2000s established foundational frameworks for landmark-based indoor navigation, leveraging planar visual landmarks—such as posters and door plates—to enable robust localization and topological navigation in real-world environments. These papers, accumulating over 40 citations each, remain key references in autonomous mobile robotics. Hayet's 2004 work on face tracking and hand gesture recognition for human-robot interaction, his most-cited contribution with 91 citations, demonstrated how robots could actively perceive and respond to human cues, broadening the accessibility and practicality of robotic systems. His research evolved significantly by 2014, when he turned his attention to humanoid and wheeled robots, developing reactive vision-guided walking strategies for rough terrain using inverse dynamics control, visual servoing techniques, and super-twisting controllers. Across more than a decade of prolific output, Hayet has consistently bridged theoretical computer vision and practical robotics, producing work that spans from fundamental perception algorithms to real-time autonomous control systems, making him a notable voice in the international robotics research community.
Research Focus
Key Achievements
Top Papers
- 1Face tracking and hand gesture recognition for human-robot interaction91 citations · 2004
- 2A visual landmark framework for mobile robot navigation47 citations · 2006
- 3A visual landmark framework for indoor mobile robot navigation43 citations · 2003
- 4
- 5Visual landmarks detection and recognition for mobile robot navigation38 citations · 2003
- 6
- 7
- 8
- 9
- 10