David Gregoratti

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About

David Gregoratti is a leading researcher in the fields of wireless communications, signal processing, and intelligent surface technologies. His work focuses on integrating radio sensing and machine learning to enable autonomous systems to perceive and interact with their environments more effectively. A standout contribution is his pioneering research on using Large Intelligent Surfaces (LIS) for floor map reconstruction, demonstrating how radio signals can be harnessed to create accurate environmental maps without relying on traditional visual sensors. This work, published in 2022, has already garnered early citations, reflecting its growing influence in the robotics and communications communities. Gregoratti’s research addresses a critical intersection: ensuring both safe autonomous navigation and reliable wireless communication for robots. By bridging the gap between physical scene understanding and radio-based sensing, he is advancing the capabilities of next-generation autonomous systems. His contributions are particularly valuable for applications in smart environments, industrial automation, and beyond, where robust environmental awareness is essential for both safety and connectivity.