Rafael Alceste Berri

Universidade Federal do Rio Grande, Universidade de São Paulo

Papers

Total Citations

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About

Rafael Alceste Berri is a researcher whose work bridges autonomous systems, computer vision, and human-robot interaction, with a focus on intelligent mobility and social robotics. His key research areas include visual perception for autonomous vehicles, advanced driver assistance systems (ADAS), and telepresence robotics. Berri’s major contributions are exemplified in his most-cited paper, “CARINA Project: Visual Perception Systems Applied for Autonomous Vehicles and ADAS” (2023, 17 citations), which addresses complex computational techniques for safe navigation in dynamic environments—a critical step toward real-world autonomous driving. He also pioneered work in human-robot interfaces, as seen in his 2014 paper on a telepresence robot using Kinect-based face tracking and 3D perception (10 citations), demonstrating how gesture control can enhance remote interaction. His 2015 exploration of transitioning from tele-operated to socially autonomous robots (3 citations) further underscores his commitment to making robots more intuitive and responsive. With a career spanning foundational robotics challenges—from obstacle avoidance to human-centered design—Berri’s research has laid groundwork for safer, more accessible autonomous systems, impacting fields from assistive technology to intelligent transportation.