Assoc. Prof. Dr. Emre Uğur has received a grant as a partner in the project titled "INteractive robots that intuitiVely lEarn to inVErt tasks by ReaSoning about their Execution" (INVERSE) under the call titled "HORIZON-CL4-2023-DIGITAL-
The INVERSE project aims to provide robots with these essential cognitive abilities by adopting a continual learning approach. After an initial bootstrap phase, used to create initial knowledge from human-level specifications, the robot refines its repertoire by capitalising on its own experience and on human feedback. This experience-driven strategy permits to frame different problems, like performing a task in a different domain, as a problem of fault detection and recovery. Humans have a central role in INVERSE, since their supervision helps limit the complexity of the refinement loop, making the solution suitable for deployment in production scenarios. The effectiveness of developed solutions will be demonstrated in two complementary use cases designed to be a realistic instantiation of the actual work environments.