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Description
In this course, we will study the problem of how a robot can learn the
structure of the world it inhabits, and how to navigate within that world.
We will focus first on the problems of spatial knowledge: exploration,
mapping and navigation in unknown environments. Our hypothesis is that
the effectiveness and robustness of human spatial knowledge arises from
having multiple representations of knowledge of space that work well together,
and that we can replicate this on robots. We will also address the problem
of what and how a robot can learn about its own sensorimotor capabilities
and about its environment by exploration without prior knowledge. These
problems relate to some of the most fundamental issues in artificial intelligence
and cognitive science.
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