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- W4299522281 abstract "Location estimation is a fundamental sensing task in robotic applications, where the world is uncertain, and sensors and effectors are noisy. Most systems make various assumptions about the dependencies between state variables, and especially about how these dependencies change as a result of actions. Building on a general framework by Bacchus, Halpern and Levesque for reasoning about degrees of belief in the situation calculus, and a recent extension to it for continuous domains, in this paper we illustrate location estimation in the presence of a rich theory of actions using an example. We also show that while actions might affect prior distributions in nonstandard ways, suitable posterior beliefs are nonetheless entailed as a side-effect of the overall specification." @default.
- W4299522281 created "2022-10-02" @default.
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- W4299522281 date "2014-02-28" @default.
- W4299522281 modified "2023-10-16" @default.
- W4299522281 title "Robot Location Estimation in the Situation Calculus" @default.
- W4299522281 doi "https://doi.org/10.48550/arxiv.1402.7276" @default.
- W4299522281 hasPublicationYear "2014" @default.
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