Alessandro De Robertis

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About

Alessandro De Robertis is a researcher at the forefront of cyber-physical systems and healthcare technology, with a focus on integrating wearable sensors, social robotics, and edge-fog-cloud architectures to advance rehabilitation practices. His most-cited work, "Integration of Commercial Wearable Sensors and Social Robots into an Edge-Fog-Cloud Architecture to Support Rehabilitation Practice" (2024), has already garnered 3 citations, signaling early impact in this emerging field. De Robertis’s major contribution lies in designing scalable, real-time data processing frameworks that bridge commercial off-the-shelf wearable devices with robotic assistants, enabling personalized, remote rehabilitation monitoring. By leveraging edge computing for low-latency feedback and cloud resources for long-term analytics, his architecture addresses critical challenges in continuous patient care—such as data privacy, bandwidth constraints, and adaptive therapy. This work not only enhances clinical efficiency but also empowers patients with greater autonomy during recovery. De Robertis’s research sits at the intersection of human-robot interaction, IoT, and distributed systems, offering a blueprint for next-generation assistive technologies. His achievements reflect a commitment to translating cutting-edge computing paradigms into tangible healthcare solutions, making him a promising voice in the drive toward smarter, more accessible rehabilitation.