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Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2507371017

Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

About this item

Full title

Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In this paper we present a framework to learn skills from human demonstrations in the form of geometric nullspaces, which can be executed using a robot. We collect data of human demonstrations, fit geometric nullspaces to them, and also infer their corresponding geometric constraint models. These geometric constraints provide a powerful mathematica...

Alternative Titles

Full title

Inferring the Geometric Nullspace of Robot Skills from Human Demonstrations

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2507371017

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2507371017

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2103.16092

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