Antonio Carlo Bertolino
Papers
3
Total Citations
35
H-Index
3
About
Antonio Carlo Bertolino is a leading researcher in collaborative robotics, with a focus on model-based health management, failure analysis, and human-robot interaction. His work centers on improving the safety, reliability, and intuitive control of industrial cobots. Bertolino’s major contributions include developing comprehensive multibody models of collaborative robots to support prognostics and health management (PHM), enabling more efficient trajectory planning and safer human-robot cooperation. His 2023 paper on this topic has garnered 22 citations, reflecting its impact on the field. He has also conducted a detailed Failure Mode, Effects, and Criticality Analysis (FMECA) of harmonic drives in UR5 cobots, identifying key failure mechanisms that inform predictive maintenance strategies. Additionally, Bertolino has advanced teleoperation interfaces for industrial applications, enhancing operator safety and control. His research is instrumental in bridging the gap between theoretical modeling and practical robotic health management, making him a notable figure in the evolution of reliable, human-centric automation.
Research Focus
Key Achievements
Top Papers
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