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INVERSE
INteractive robots that intuitiVely lEarn to inVErt tasks by ReaSoning about their Execution
Website
Industry Sector
Manufacturing
Project Timeline
January 1, 2024 – December 31, 2027
With a consortium of 11 partners across Europe, the INVERSE project aims to enhance robotic capabilities by adopting a continual learning approach, enabling machines to understand and execute tasks in diverse environments. This involves a human-supervised refinement loop, ensuring practical deployment in real-world scenarios and showcasing adaptability through fault detection and recovery strategies.
The vision of INVERSE is to endow robots with the cognitive capabilities needed to synthesise, monitor and execute inverse plans from direct tasks defined in terms of human-understandable instructions and procedures. INVERSE’s approach to synthesise reusable and robust plans implies an enhanced ability of the robot
- to understand its surroundings, including human intentions and needs, in order to determine what action the robot has to perform and how the environment is expected to change as a result;
- to represent robot knowledge in a flexible structure, specifically designed to facilitate execution monitoring, recovery from failures and task inversion;
- to adapt robot knowledge to different domains in order to synthesise effective solutions for direct and inverse tasks and to robustly react to the intrinsic variability of non-repetitive tasks.
