Robot Task-Constrained Optimization and Adaptation with Probabilistic Movement Primitives
Robot Task-Constrained Optimization and Adaptation with Probabilistic Movement Primitives
About this item
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Author / Creator
Ding, Guanwen , Zang, Xizhe , Zhang, Xuehe , Li, Changle , Zhu, Yanhe and Zhao, Jie
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Enabling a robot to learn skills from a human and adapt to different task scenarios will enable the use of robots in manufacturing to improve efficiency. Movement Primitives (MPs) are prominent tools for encoding skills. This paper investigates how to learn MPs from a small number of human demonstrations and adapt to different task constraints, inc...
Alternative Titles
Full title
Robot Task-Constrained Optimization and Adaptation with Probabilistic Movement Primitives
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_069b9d33e37a41d1b5881406bd2fc33e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_069b9d33e37a41d1b5881406bd2fc33e
Other Identifiers
ISSN
2313-7673
E-ISSN
2313-7673
DOI
10.3390/biomimetics9120738
