Image segmentation-driven sim-to-real deep reinforcement learning framework for accurate peg-in-hole assembly.
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| Title: | Image segmentation-driven sim-to-real deep reinforcement learning framework for accurate peg-in-hole assembly. |
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| Authors: | Zhang, Ning1, Zhao, Yongjia1,2, zhaoyongjia@buaa.edu.cn, Yang, Minghao3, Dai, Shuling1 |
| Source: | Robotica; Aug2025, Vol. 43 Issue 8, p2783-2802, 20p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187896084 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187896084 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1017/S026357472510177X Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 2783 Titles: – TitleFull: Image segmentation-driven sim-to-real deep reinforcement learning framework for accurate peg-in-hole assembly. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Ning – PersonEntity: Name: NameFull: Zhao, Yongjia – PersonEntity: Name: NameFull: Yang, Minghao – PersonEntity: Name: NameFull: Dai, Shuling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02635747 Numbering: – Type: volume Value: 43 – Type: issue Value: 8 Titles: – TitleFull: Robotica Type: main |
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