Valerio Perna
Papers
2
Total Citations
12
H-Index
2
About
Valerio Perna is a researcher focused on advancing the precision and productivity of industrial robotic manipulators. His work centers on trajectory planning and robust control systems, addressing critical challenges in vibration reduction and positioning accuracy. Perna’s most cited paper, "Simulation and Experimental Validation of Novel Trajectory Planning Strategy to Reduce Vibrations and Improve Productivity of Robotic Manipulator" (2020, 8 citations), investigates vibrational behaviors of COMAU S.p.A.’s Racer 7-1.4 manipulator, proposing innovative strategies to enhance productivity without sacrificing accuracy. In his 2022 work, "A Robust H∞ Application for Motor-Link Control Systems of Industrial Manipulators" (4 citations), Perna explores the practical implementation of H∞ control approaches—known for their robustness—in industrial robotics, addressing the gap between theoretical research and real-world application. His contributions are notable for bridging simulation and experimental validation, offering tangible solutions for manufacturing environments. Perna’s research is particularly valuable for students and engineers seeking to understand how advanced control theory can be applied to improve robotic performance in high-precision tasks.
Research Focus
Key Achievements
Top Papers
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