Automation offers tools for the analysis and design of modern control systems. It does so leveraging on the synergy between state of the art methodologies and solid knowledge of technological processes involved. Our expertise focuses on different aspects of contemporary control system engineering: robotics, machine learning, industrial automation, complex systems.
The research team is also involved in the development, advanced analysis and design, planning and management of complex systems in many fileds such as electrical and electromechanical engineering companies, biomedical applications, chemical companies, aero-spatial companies and, more generally, service providers and managing companies requiring design and development of automatic control, machine learning and robotics systems.



Industrial Control Applications

Control Networks

Control Systems Theory

Machine Learning, Identification and Estimation

Quantum Information and Control

Robotics & Mechatronics

Smart Environments

Systems Biology