Papers
3
Total Citations
11
H-Index
3
About
Angelo Moroncelli is a rising researcher at the intersection of robotics, computer vision, and secure multi-agent systems. His work addresses critical challenges in autonomous manipulation and distributed intelligence, with a particular focus on industrial and aerospace applications. Moroncelli’s major contributions include pioneering the integration of blockchain technology with swarm robotics for Byzantine fault detection in collaborative SLAM, a novel approach that enhances security and trust in multi-robot systems. In the domain of robotic disassembly, he developed a vision-based pipeline combining YOLO and SAM for task orientation estimation, enabling automated end-of-life processing of aircraft engines—a key step toward sustainable aerospace manufacturing. His work on FLARE demonstrates how fine-tuned large language models can generate resource-efficient robotic actions, overcoming limitations of generic foundation models in complex manipulation tasks. With papers published in 2024 and 2025 already accumulating citations, Moroncelli is establishing himself as an innovator in trustworthy, vision-guided robotics. His research promises to make autonomous systems more reliable, adaptable, and environmentally responsible.
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