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About

Chenshu Wu is a pioneering researcher at the intersection of indoor intelligent perception, wireless sensing, and robotic IoT systems. His work primarily addresses the practical challenges of indoor localization, human presence detection, and autonomous robot navigation — fields that underpin the next generation of smart building and location-based services. Wu's most recognized contributions include Wi-MoID and its predecessor "Who Moved My Cheese?", which tackle a deceptively difficult real-world problem: distinguishing human motion from that of pets, robots, and appliances using WiFi signals alone. These papers, accumulating 12 and 7 citations respectively, represent meaningful advances in making indoor perception systems genuinely deployable. His EZMap project (10 citations) democratizes indoor mapping by reducing reliance on expensive LiDAR hardware, enabling scalable floor plan construction through high-precision robotic tracking. Beyond sensing, Wu investigates the infrastructure supporting intelligent robots, as evidenced by ROG, a distributed ML training system for robotic IoT teams, and NeurIT, which pushes neural inertial tracking to new accuracy limits by fully exploiting magnetometer data. Collectively, Wu's research portfolio reflects a coherent vision: building smarter, more practical, and more robust indoor environments where humans and autonomous systems coexist seamlessly.