Roberto Guida
Papers
7
Total Citations
171
H-Index
6
About
Roberto Guida is a researcher specializing in robotics engineering, with a particular focus on industrial and collaborative robot modeling, dynamic parameter identification, and prognostics and health management (PHM). His work bridges the gap between theoretical modeling and real-world industrial applications, making him a notable contributor to the field of robotic systems reliability. Guida's most influential contributions include a comprehensive evaluation of kinematic modeling techniques for six-axis robotic arms and a widely cited overview of harmonic drive gear failures in industrial robots — both accumulating 47 citations — establishing him as an authority on robotic joint mechanics and failure analysis. His research on dynamic parameter identification under varying temperature and mounting conditions (33 citations) has provided critical insights for building high-fidelity robot models, particularly for Universal Robots' UR3 and UR5 collaborative platforms. His 2023 multibody modeling work (22 citations) advances digital twin development for PHM applications, while his detailed FMECA analysis of harmonic drive failure modes demonstrates a rigorous systems-engineering approach to predictive maintenance. Collectively, Guida's research supports safer, more efficient human-robot collaboration and smarter manufacturing systems, making his work highly valuable for engineers and researchers working in industrial automation and robot health management.
Research Focus
Key Achievements
Top Papers
- 1Modeling techniques for kinematic analysis of a six-axis robotic arm47 citations · 2019
- 2Harmonic Drive Gear Failures in Industrial Robots Applications: An Overview47 citations · 2021
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- 6Identification of a UR5 Collaborative Robot Dynamic Parameters8 citations · 2021
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