Antonio De Vuono

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About

Antonio De Vuono is a robotics researcher whose work centers on human-robot collaboration and industrial automation, with a particular focus on developing robotic co-workers for physically demanding workshop environments. His primary contributions revolve around the TIREBOT project, a collaborative robot designed to assist tire workshop operators by autonomously lifting and transporting heavy wheels, thereby reducing physical strain and improving workplace safety. This system integrates gesture-based interaction via an RGB-D camera, allowing intuitive human-robot communication, and employs a safe navigation strategy based on the concept of a "danger field" to ensure secure movement in dynamic workshop settings. De Vuono’s most cited paper, "TIREBOT: A collaborative robot for the tire workshop" (2018), has garnered 29 citations, reflecting the practical relevance of his work. His research not only advances robotic co-worker design but also addresses real-world ergonomic and safety challenges in industrial contexts. Through the TIREBOT series, De Vuono has demonstrated a clear commitment to bridging the gap between cutting-edge robotics and tangible, human-centered applications, making his work a valuable reference for researchers exploring safe human-robot interaction and assistive automation.