Research Areas

  • Control and Automation of Industrial Systems

    The group has always devoted attention to the collaboration with the industrial world and to the technological transfer. In this context many applications have been developed dealing with the supervision and feedback control of wide range of industrial processes. Among these: chemical process control, electric motor control systems, biomedical equipment design and control, automatic inspection for quality control and industrial robotics applications.

     
  • Control of Aerospace Systems

    Over the years many lines of research have been activated in the area of aerial robotics. This include, flight guidance and control schemes, sensors and actuator faults diagnosis, fault tolerant control, non-linear adaptive and learning control, visual feedback based control schemes for UAVs in flight operations such as autonomous aerial refueling.
    Another important research activity of the SiraLab is the deployment and testing of autonomous mini aerial vehicles including the design of the aerodynamics, mechanics, electronics, communicaticon and control systems.

     
  • Robotics and Perception

     

    Modern robot research focuses on complex robot-human and robot-environment interaction. The ability to perform complex actions is connected to the quality of spatial perception the robot has and this depends not only on good sensors, but mostly on good algorithms that enable these machines to understand data collected by their cameras, lasers, microphones and other sensors they have. Our group works actively on robotics research, computer vision for robotics  and on machine learning solutions to fundamental robotic problems, like sensor fusion, robot localization, space perception, movement and human-machine interaction.

     
  • Systems Biology and Biomedical Systems

     

     

    The study of biological processes and systems represents a new challenge for systems and control theory. Life sciences, biology in particular, are now experiencing a profound revolution driven by the sudden availability of data produced by new experimental techniques. Moreover, there is growing awareness among life scientists that a full understanding of life can’t rely only on the study of the single components of a biological system (just like in the classical reductionist approach): every component is included in a network of dynamic interactions and they are as much important as the component itself. These two facts together made dynamic modeling of biological processes an ideal theoretical framework to support biology in this revolution, to aid in interpretation of data and to extract new information from them. Systems Biology research at SiraLab is currently dealing with dynamic modeling of DNA damage and repair processes in single cells. SiraLab work in Systems Biology applied to translational Oncology thanks to a constantly collaboration with biologists and oncologists. Current focus of our group is in signal transduction networks and robustness of cancer cells

    SIRALab group is also active in the development of information technology tools for medical and biological applications, such as artificial pancreas simulation, hydrocephalus pressure control and management and biomedical image processing.

     
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