Representation and Learning of Spatial Maps
نویسندگان
چکیده
How animals acquire, store, update, and use spatial representations of their environments for localization and navigation is one of the central questions in Cog-nitive Science and Neuroscience. Design of robust algorithms for spatial learning for mobile robots for exploring a-priori unknown environments is one of the key problems in robotics and artiicial intelligence. This paper describes some approaches to acquiring, representing , retrieving, and updating spatial maps using sensory as well as motor measurements in a biologically inspired model of spatial learning.
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تاریخ انتشار 2007