Marco Macchi
Papers
4
Total Citations
36
H-Index
3
About
Marco Macchi is a researcher whose work sits at the intersection of intelligent manufacturing, maintenance engineering, and sustainable production systems. His research spans condition-based and predictive maintenance, collaborative robotics, and human-robot interaction for end-of-life product disassembly — areas increasingly central to the vision of Industry 4.0 and smart factories. Macchi's most impactful contribution to date is his 2023 framework for fault detection and diagnostics in articulated collaborative robots, which employs hybrid AI modelling to support predictive maintenance strategies within cyber-physical systems — a paper that has already attracted 22 citations, signalling strong community interest. His earlier 2014 work on smart sensors for condition-based maintenance demonstrated prescient attention to prognostic maintenance solutions, laying conceptual groundwork that his later research continues to build upon. More recently, Macchi has turned toward sustainable manufacturing challenges, developing knowledge graph-driven reasoning systems and digital twin platforms to enable intelligent, human-robot collaborative disassembly of end-of-life products. These contributions directly address circular economy imperatives. Across his career, Macchi consistently bridges theoretical AI methodologies with practical industrial application, making his work valuable reading for researchers in maintenance engineering, robotics, and green manufacturing alike.
Research Focus
Key Achievements
Top Papers
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