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Robots Bootstrapped through Learning from Experience (Xperience)
Start date: Jan 1, 2011, End date: Dec 31, 2015 PROJECT  FINISHED 

Description Xperience will implement a complete robot system for automating introspective, predictive, and interactive understanding of actions and dynamic situations based on structural bootstrappingHumans are able to rapidly create new concepts and react to unanticipated situations using their experience. They use generative mechanisms, like imagining and internal simulation, based on prior knowledge to predict the immediate future. Current artificial cognitive systems do not yet use generative mechanisms in this way. The Xperience project addresses this problem by structural bootstrapping, an idea taken from language acquisition research: if you know the structure of a process the role of unknown actions and entities can be inferred from their location and use in the process. This approach will enable rapid generalisation and allow agents to communicate effectively. Xperience will have a major impact in a wide range of autonomous robotics applications that benefit from efficient learning through exploration, predictive reasoning and external guidance.
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