Efficiently exploring for human robot interaction: partially observable Poisson processes
Consider a mobile robot exploring an office building with the aim of observing as much human activity as possible over several days. It must learn where and when people are to be found, count the observed activities, and revisit popular places at the right time. In this paper we present a series of...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer
2022
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