Luca De Cicco

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About

Luca De Cicco’s research lies at the intersection of robotics, sensing, and real-time communication, with a focus on enabling intelligent systems to perceive and interact with their environments. His work spans electronic skin technologies for prosthetics and human-machine interfaces, millimeter-wave radar perception, and autonomous mobile robotics. A key contribution is his work on advanced e-skin systems, which integrate flexible tactile sensors with AI-driven adaptive learning to enhance device responsiveness in rehabilitation and robotics—a paper that has already garnered 15 citations since 2025. He also introduced MilliNoise, a novel point cloud dataset capturing sparse, noisy millimeter-wave radar data, critical for robust perception in challenging conditions like fog or smoke. Additionally, his research on APEIRON addresses real-time communication challenges for drone swarms in surveillance and disaster response, while his work on immersive teleoperation of autonomous mobile robots enables reliable remote human intervention in hazardous environments. De Cicco’s contributions are shaping the future of resilient, adaptive robotic systems that bridge sensing, computation, and real-time control.