Alberto Cabri

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About

Alberto Cabri is at the forefront of integrating artificial intelligence with sustainable industrial automation, specializing in computer vision and robotics for circular economy applications. His research focuses on developing intelligent systems that address critical challenges in electronic waste management and automated manufacturing. Cabri’s most impactful work introduces a deep learning-powered computer vision system for selective disassembly of waste printed circuit boards, targeting the recovery of Critical Raw Materials (CRMs) as prioritized by European Union directives. This pioneering study, already garnering 9 citations since its 2024 publication, demonstrates how advanced AI can optimize resource utilization in e-waste recycling. Additionally, Cabri has contributed to accessible automation through his work on computer vision algorithms for automated depalletizing, implemented on a Raspberry Pi 4 platform. This research, with 4 citations, showcases how low-cost hardware can effectively detect and locate variable-shaped objects for robotic unstacking in industrial settings. By bridging cutting-edge deep learning with practical, cost-effective solutions, Cabri’s work is shaping the future of sustainable manufacturing and intelligent waste processing.