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Wednesday, 24 November 2010

EU scientists prove robots can learn to 'think'

EU-funded scientists have tested a groundbreaking theory that sees robots learning to 'think' about the actions they can perform on an object. The upshot is that robots can teach themselves by learning from their observations and experiences. This latest development is an outcome of the PACO-PLUS ('Perception, action and cognition through learning of object-action complexes') project, funded under the 'Information society technologies' (IST) Thematic area of the EU's Sixth Framework Programme (FP6) to the tune of EUR 6.9 million.The PACO-PLUS project partners sought to test the so-called 'object-action complexes' (OACs) theory. OACs are units of 'thinking-by-doing' and this approach designs software and hardware that allows a robot to think about objects in terms of the actions that can be performed. For example, if a robot sees an object with a handle, the robot could grasp it. If it has an opening, the robot can potentially fit something into the opening or fill it with liquid. If it has a lid or a door, the robot can potentially open it. Objects therefore gain their significance by the range of possible actions a robot can execute upon them.This opens up a much more interesting way for robots to think autonomously, because it fosters the possibility of emergent behaviour, complex behaviours which arise spontaneously because of quite simple rules, according to the partners.

Source:  European Union

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