Hello there! I am Giuseppe, nice to meet you!
Specialties: Advanced knowledge of robotic systems, ROS, Gazebo, C++, Python, Matlab, Medium knowledge of artificial intelligence.
Awards:Finalist of IEEE SMC Best Student Paper Award.
For people experiencing severe motor impairments, daily life activities, such as getting dressed or fed, might be difficult or impossible, thus requiring a constant presence of caregivers for assistance. In this context, robotic systems can certainly help such people in improving their life quality by providing some sort of autonomy in the executing of some activities and by reducing the needs of a constant presence of a caregiver.
Applications involving multi-robot systems are day by day increasing, since they allow to accomplish complex tasks otherwise impossible for a single unit. Common control approaches for multi-robot systems are based on distributed architectures, where each robot computes its own control input only based on local information from onboard sensors or received form its neighbor robots. This means that the failure of one or more agents might jeopardize the task execution. For this reason, Fault Detection and Isolation (FDI) strategies become crucial so as to accomplish the assigned task also in the aforementioned case.
TARMEM is a 3-year research project funded by the Qatar National Research Fund (QNRF) in the Cycle 10 of the National Priorities Research Program (NPRP). The general aim of the project is to develop planning, coordination and communication tools for the distributed control of a team of aerial and aquatic robots for autonomous long-running monitoring missions in marine environments.