New technology from the Royal Institute of Technology (KTH) in Stockholm is teaching a household robot a more efficient way to get around a house, for example. The method was recently awarded a prize for the best contribution among 500 others at IROS, one of the world’s largest robot conferences.
Philipp Althaus describes the concept in his dissertation, to be defended on November 21. Robots are making their way into our homes, toy robots and simple household robots. This is a clear trend, and by 2005 the market estimates that more than twice as many household and toy robots will be sold in the world compared to today.
A major problem for a household robot is how to get around in an unknown environment. A chair that has been moved or a person standing in the way can easily confuse a robot. Several earlier attempts have involved programming an enormous amount of map data about the environment: Where are the walls? What does every obstacle look like in detail? How far is it between this thing and that thing? This is not an efficient way to go, since the amount of data grows exponentially with the surface the robot is to navigate. The more data there is, the more the robot has to think, and the slower it moves. Nor is a robot especially good at improvising when unexpected obstacles turn up. Computing power is no guarantee of success.
Jacob Seth-Fransson | alfa
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The Max Planck Institute for Physics (MPP) is opening up a new research field. A workshop from November 21 - 22, 2016 will mark the start of activities for an innovative axion experiment. Axions are still only purely hypothetical particles. Their detection could solve two fundamental problems in particle physics: What dark matter consists of and why it has not yet been possible to directly observe a CP violation for the strong interaction.
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