Andrea De Martin
Papers
9
Total Citations
152
H-Index
7
About
Andrea De Martin is a researcher whose work sits at the intersection of robotics, mechanical engineering, and prognostics and health management (PHM). His research focuses primarily on collaborative and industrial robots, with particular emphasis on the reliability, modeling, and fault diagnosis of robotic systems used in demanding manufacturing environments. De Martin has made substantial contributions to understanding the degradation mechanisms of harmonic drive gears — a critical component in modern robotic manipulators. His widely cited 2021 overview of harmonic drive failures (47 citations) has become a key reference for engineers and researchers tackling maintenance challenges in industrial robotics. Complementing this, his experimental studies on wear-induced torsional stiffness changes and comprehensive failure mode analyses provide both fundamental insights and practical diagnostic tools. Beyond fault analysis, De Martin has advanced high-fidelity dynamic modeling of collaborative robots, demonstrating how temperature and mounting configuration affect parameter identification — work validated on Universal Robots platforms and accumulating over 33 citations. His 2023 multibody model further bridges simulation and real-world PHM applications. Applied contributions include data-driven solutions for robotic hemming in automotive lines and intuitive human-robot interfaces for industrial telecontrol, illustrating a researcher equally comfortable with theoretical rigor and industrial relevance.
Research Focus
Key Achievements
Top Papers
- 1Harmonic Drive Gear Failures in Industrial Robots Applications: An Overview47 citations · 2021
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- 7Identification of a UR5 Collaborative Robot Dynamic Parameters8 citations · 2021
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