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About

Oscar D. Ramos-Cantor is a leading researcher at the intersection of wireless communications, industrial automation, and artificial intelligence. His work is foundational to the emerging field of AI-enabled connected industry, where he focuses on enabling seamless, reliable communication for autonomous guided vehicles (AGVs) and robotic systems in smart factories. Ramos-Cantor’s major contributions include the creation and public release of two groundbreaking wireless measurement datasets—industrial Vehicle-to-Vehicle (iV2V) and industrial Vehicle-to-Infrastructure plus Sensor (iV2I+)—captured in real-world industrial testbeds. These datasets, detailed in his most-cited 2024 paper (15 citations), are critical resources for developing and validating AI-driven communication protocols for sidelink and infrastructure-based scenarios. His earlier work (2021, 2 citations) demonstrated the feasibility of using LTE/5G cellular connectivity for on-the-move cooperation between stationary manipulators and mobile platforms, integrating motion planning and control. By providing open, high-quality data and proof-of-concept systems, Ramos-Cantor is directly enabling the next generation of flexible, autonomous, and wirelessly coordinated industrial operations, making him a key figure in the digital transformation of manufacturing.