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About

Roberto Pugliese is a researcher whose work bridges the fields of autonomous robotics, control systems, and educational technology. His primary contributions lie in the development of flexible, vision-based auto-docking control systems for unmanned ground vehicles (UGVs) equipped with differential chassis, a critical advancement for industrial automation and logistics. His most cited paper, "Flexible Vision-Based Auto-docking Control System for Unmanned Ground Vehicles Equipped with Differential Chassis" (2022, 5 citations), demonstrates a practical, configurable solution for precise vehicle docking, while his subsequent work on a universal configurable navigation and control system (2023, 2 citations) further extends this framework to broader industrial applications. Beyond hardware and software, Pugliese is also dedicated to education, as evidenced by his paper on integrating robotic systems into an AI fundamentals course at the ITS Academy Foundation in Trieste, Italy (2023, 2 citations). Earlier in his career, he contributed to cyberinfrastructure, co-authoring a paper on integrating geoscience instruments and sensors on the Grid (2009, 2 citations), showcasing his versatility. With a growing citation record and a focus on practical, deployable systems, Pugliese is shaping both the future of autonomous ground vehicles and the next generation of robotics engineers.