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About

Marco Roveri is an emerging researcher at the intersection of robotics, artificial intelligence, and autonomous systems, with a focus on developing intelligent, adaptable robotic agents capable of operating in complex real-world environments. His work spans BDI (Belief-Desire-Intention) architectures, robotic manipulation, pathfinding algorithms, and knowledge representation — areas that collectively address some of the most pressing challenges in modern robotics. Roveri's most influential contribution, "Developing BDI-Based Robotic Systems with ROS2" (2022, 9 citations), demonstrates his commitment to bridging cognitive agent frameworks with practical robotic middleware. Building on this foundation, his research into continual temporal planning equips autonomous agents with the proactive, adaptive decision-making capabilities essential for unpredictable environments. His innovative integration of Prolog with generative AI models for robotic knowledge management reflects a sophisticated approach to combining classical symbolic reasoning with modern machine learning. On the hardware side, Roveri has contributed to high-force gripper design with embedded multimodal sensing and agile quadruped robot development, showcasing a rare breadth spanning software intelligence and physical robotic systems. With over 19 cumulative citations and a growing publication record across 2022–2024, Roveri represents a promising voice in next-generation intelligent robotics research.