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Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-A...

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-A...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3066576319

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery

About this item

Full title

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Automation holds the potential to assist surgeons in robotic interventions, shifting their mental work load from visuomotor control to high level decision making. Reinforcement learning has shown promising results in learning complex visuomotor policies, especially in simulation environments where many samples can be collected at low cost. A core c...

Alternative Titles

Full title

Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3066576319

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3066576319

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2406.06092

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