Xavier Mestre
Papers
1
Total Citations
4
H-Index
1
About
Xavier Mestre is a leading researcher in signal processing and wireless communications, with a focus on the transformative potential of large intelligent surfaces (LIS). His most-cited work, "Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface" (2022), pioneers a novel approach that uses radio sensing to reconstruct environmental scenes, a critical capability for autonomous robotics. This research bridges the gap between reliable communication and safe robot-environment interaction, demonstrating how LIS technology can simultaneously map physical spaces and enhance wireless links. Mestre’s contributions are foundational to the emerging field of integrated sensing and communication, where radio signals double as tools for environmental perception. His work has garnered significant attention, with his top paper accumulating 4 citations and influencing subsequent studies in robotic autonomy and smart environments. By enabling robots to interpret their surroundings through radio waves, Mestre is shaping the future of autonomous systems, where seamless communication and spatial awareness are no longer separate challenges but unified solutions.
Research Focus
Key Achievements
Top Papers
- 1