Angelo Merlo

Papers

Total Citations

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About

Angelo Merlo is a researcher in robotics and precision manufacturing, focusing on the reliability and design of advanced robotic systems. His work addresses critical challenges in industrial automation, particularly in the development of parallel robotic devices for miniaturized object machining. In his 2018 paper, "Design of a 3-DOFs Parallel Robotic Device for Miniaturized Object Machining," he contributed a novel kinematic architecture that enhances precision and stiffness for micro-manufacturing applications. Building on this, his 2019 study, "Robotic System Reliability Analysis and RUL Estimation Using an Iterative Approach," introduced a framework for predicting the remaining useful life (RUL) of robotic systems, integrating iterative reliability analysis to improve maintenance strategies and operational safety. Though his citation counts are modest—each paper garnering 5 citations—these works represent foundational contributions to the reliability engineering of parallel robots, offering practical methods for extending system longevity in high-precision environments. Merlo’s research bridges the gap between mechanical design and predictive maintenance, making him a notable figure in the niche of miniaturized robotic machining and system reliability.