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Spatio-Temporal Representations and Activities For Cognitive Control in Long-Term Scenarios (STRANDS)
Start date: Apr 1, 2013, End date: May 31, 2017 PROJECT  FINISHED 

Description STRANDS aims to enable a robot to achieve robust and intelligent behaviour in human environments through exploitation of long-term experience. The approach is based on understanding 3D space and how it changes over time, from milliseconds to months. The project will develop control mechanisms which yield adaptive behaviour in highly demanding, real-world security and care scenarios. The robots will be able to run for significantly longer than current systems. Long runtimes provide previously unattainable opportunities for a robot to learn about its world. The society will benefit as robots become more capable of assisting humans, a necessary advance due to the demographic shifts in the health industry.
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Coordinator

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