Learning a Spatial Field in Minimum Time with a Team of Robots
We study an informative path planning problem where the goal is to minimize the time required to learn a spatial field. Specifically, our goal is to ensure that the mean square error between the learned and actual fields is below a predefined value. We study three versions of the problem. In the pla...
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| Format: | Others |
| Language: | en_US |
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/93735 |