A reinforcement learning fuzzy system for continuous control in robotic odor plume tracking
A reinforcement learning fuzzy system for continuous control in robotic odor plume tracking
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Cambridge, UK: Cambridge University Press
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Language
English
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Cambridge, UK: Cambridge University Press
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In dynamic outdoor environments characterized by turbulent airflow and intermittent odor plumes, robotic odor plume tracking remains challenging, because existing algorithms heavily rely on manually tuning or learning from expert experience, which are hard to implement in an unknown environment. In this paper, a multi-continuous-output Takagi–Sugen...
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Full title
A reinforcement learning fuzzy system for continuous control in robotic odor plume tracking
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TN_cdi_proquest_journals_2774008743
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2774008743
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ISSN
0263-5747
E-ISSN
1469-8668
DOI
10.1017/S0263574722001321
