The achievements of recent years in machine learning made the application of related methods a consolidated approach for various fields. Nevertheless, it arose that the methodology does not extend in a direct and immediate way to robotics and, more generally, to embodied intelligence where agents, by their nature, take advantage of an exchange of information and energy with the surrounding environment.
This aspect identifies a research gap that, if filled, would enable a significant jump ahead towards e.g. robots full autonomy overcoming the limit of heavily relying on human supervision.
This research question is addressed within the TAEI FoReLab: teams of heterogeneous robots capable of intelligently operate in (at least partially) unknown, not structured, dynamical and not predictable scenarios.
This includes robots capable of covering all the domains (air, ground and water) coordinating and cooperating among themselves keeping into consideration the environment and the constraints in terms of body, perception, motor, communication and brain systems.
The fauna of robots available at the FoReLab, covering all the domains, will allow to address all the research aspects from the theoretical ones to validation on the field.
Research lines
