Wednesday, August 25, 2010

Robots learning from experience

See original at ICT Results

Great example of "bottom-up" approaches to AI, which rely on statistical learning techniques to acquire knowledge, rather than attempting to hand-code it all explicitly.
"Software that enables robots to move objects about a room, building up ever-more knowledge about their environment, is an important step forward in artificial intelligence.

Some objects can be moved, while others cannot. Balls can be placed on top of boxes, but boxes cannot be stably stacked on top of balls. A typical one-year-old child can discover this kind of information about its environment very quickly. But it is a massive challenge for a robot – a machine – to learn concepts such as ‘movability’ and ‘stability’, according to Björn Kahl, a researcher at the Bonn-Rhein-Sieg University and a member of the Xpero robotics research project team.

The aim of the Xpero project was to develop a cognitive system for a robot that would enable it to explore the world around it and learn through physical experimentation."

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