S. Votano
Papers
1
Total Citations
2
H-Index
1
About
S. Votano’s research centers on precision control of industrial robotic manipulators, with a primary focus on mitigating vibration-induced positioning errors through advanced iterative learning control (ILC). Their most cited work, "Vibration compensation for robotic manipulators by iterative learning control" (2018, 2 citations), addresses a critical challenge in manufacturing: the elasticity of mechanical joints that causes structural vibrations and accuracy losses during repetitive machining tasks. By developing and analyzing ILC-based strategies, Votano has contributed to enhancing manipulator performance in high-precision applications, directly impacting the reliability of automated production lines. While their publication record is still emerging, this foundational thesis work demonstrates a targeted approach to improving robotic accuracy through iterative error correction. Votano’s contributions are particularly relevant for researchers and engineers working on vibration suppression, adaptive control, and industrial automation, offering a practical framework for reducing errors in repetitive operations. As the field of robotic manipulation increasingly demands sub-millimeter precision, Votano’s work provides a stepping stone for future advances in compliant joint control and learning-based compensation methods.
Research Focus
Key Achievements
Top Papers
- 1