Cosimo Greco
Papers
2
Total Citations
4
H-Index
2
About
Cosimo Greco is a control systems and robotics researcher whose work bridges analytical rigor with practical implementation. His key research areas include self-tuning controllers, industrial robot control architectures, and sensor integration—particularly force/torque and vision-based feedback for manufacturing automation. Greco’s major contributions lie in developing hybrid approaches that combine knowledge-based techniques with traditional control theory, as demonstrated in his foundational 1989 paper on self-tuning controllers. He also addressed a critical industrial bottleneck: the closed, proprietary architectures of commercial robots that hinder advanced control prototyping. His 2004 work experimentally validated a simple yet effective architecture for integrating force/torque and vision control on a 6-DOF industrial robot, overcoming real-time constraints without requiring hardware modifications. While his citation counts (2 each) reflect a niche but specialized audience, Greco’s impact is felt in applied robotics, where his solutions offer pragmatic pathways for sensor-rich automation. His work remains relevant for researchers seeking to enhance legacy industrial systems with modern sensing capabilities, exemplifying how theoretical control advances can be translated into tangible manufacturing improvements.
Research Focus
Key Achievements
Top Papers
- 1
- 2