This project aims to develop a new paradigm to build open-ended learning robots called "Goal-based Open ended Autonomous Learning" (GOAL).

GOAL rests upon two key insights. First, to exhibit an autonomous open-ended learning process, robots should be able to self-generate goals, and hence tasks to practice. Second, new learning algorithms can leverage self-generated goals to dramatically accelerate skill learning.

The new paradigm will allow robots to acquire a large repertoire of flexible skills in conditions unforeseeable at design time with little human intervention, and then to exploit these skills to efficiently solve new user-defined tasks with no/little additional learning.

More information can be found on the website www.goal-robots.eu.