DREAM is a robotic project that incorporates sleep and dream-like processes within cognitive architecture. This enables an individual robot or groups of robots to consolidate their experience into more useful and generic formats, thus improving their future ability to learn and adapt. DREAM relies on Evolutionary Neurodynamic ensemble methods as a unifying principle for discovery, optimization, re-structuring, and consolidation of knowledge. This new paradigm will make the robot more autonomous in its acquisition, organization and use of knowledge and skills just as long as they comply with the satisfaction of pre-established basic motivations.
DREAM will enable robots to cope with the complexity of being an information-processing entity in domains that are open-ended both in terms of space and time. It paves the way for a new generation of robots whose existence and purpose goes far beyond the mere execution of dull tasks.
DREAM stands for Deferred Restructuring of Experience in Autonomous Machines. DREAM is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640891 (2015-2018). DREAM is a Future and Emerging Technologies proactive project (FET Proactive). It involves several major European institutions from four different countries: Université Pierre et Marie Curie (coordinator), CNRS, ENSTA ParisTech, VU Amsterdam, University of Edinburgh (previously: Queen Mary University), Universidade da Coruña.