A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot
We address the problem of online path planning for optimal sensing with a mobile robot. The objective of the robot is to learn the most about its pose and the environment given time constraints. We use a POMDP with a utility function that depends on the belief state to model the finite horizon plann...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2009
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