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Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778775207

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

About this item

Full title

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In this paper, a novel robotic grasping system is established to automatically pick up objects in cluttered scenes. A composite robotic hand composed of a suction cup and a gripper is designed for grasping the object stably. The suction cup is used for lifting the object from the clutter first and the gripper for grasping the object accordingly. We...

Alternative Titles

Full title

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2778775207

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778775207

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2302.10717

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