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Control, Robotica and Automation – Controlli, Robotica ed Automazione
Activity in Control, Robotics and Automation at Engineering Department can be divided into the following research areas.

Additional details, as far as a description of the more recent activities and publications, are available at ISARLab web pages (isar.unipg.it)

Perception in Robotics: Perception is one of the key enablers to deploy autonomous robots in realistic and unpredictable environments. Research in this area focuses on the development of robot perception systems, with specific interest for systems employing vision and range sensors. Current activities cover the study of innovative methodologies for sensor fusion, the use of computer vision and machine learning tools for scene modelling, place recognition, loop closing and in general localization problems.

Aerial and Underwater Robotics: Over the years many lines of research have been activated in the area of Aerial Robotics. This include design, deployment and testing of UAVs systems, flight guidance and control schemes, sensors and actuator faults diagnosis schemes, fault tolerant control, non-linear adaptive and learning control, optical feedback based control schemes for UAVs in flight operations such as autonomous aerial refuelling. Vision based localization and navigation problems are studied also in the Area of Autonomous Underwater Vehicles (AUV).

Medical and biological applications: Development of engineering tools for medical and biological applications, such as artificial pancreas simulation, hydrocephalus pressure control and management, systems biology and cancer modelling.

Technology transfer: The group is also involved in a number of industrial technology transfer projects covering the above areas, as well as general control, and automation problems. In this context the research mission of the group is to develop solutions and methods of interest for service and industrial robotics, autonomous systems, with application to mobile robots, underwater vehicles, and unmanned aerial vehicles.

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