The kernel Kalman rule
The kernel Kalman rule
About this item
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Publisher
Dordrecht: Springer Nature B.V
Journal title
Language
English
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Publication information
Publisher
Dordrecht: Springer Nature B.V
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Scope and Contents
Contents
Enabling robots to act in unstructured and unknown environments requires versatile state estimation techniques. While traditional state estimation methods require known models and make strong assumptions about the dynamics, such versatile techniques should be able to deal with high dimensional observations and non-linear, unknown system dynamics. T...
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Full title
The kernel Kalman rule
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2242645802
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2242645802
Other Identifiers
ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-019-05816-z