10.46243/jst.2022.v7.i04.pp136-142 registered
Triplet Network based Few Shot Outlier DetectionSystem in Robot Task Planning for reduced failures/unwanted Executions
Resolves to https://www.jst.org.in/index.php/pub/article/view/659
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2022.v7.i04.pp136-142
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 b45b9ac901a69d30…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Triplet Network based Few Shot Outlier DetectionSystem in Robot Task Planning for reduced failures/unwanted Executions (PrincipalTitle)
Published 2022-06-30
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 7 · issue 4 · pages 136–142
Agents
- MidhunM. S MidhunM. S (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2022.v7.i04.pp136-142
Abstract
Human/systems managing the robot may make errors, resulting in a significant loss.A robotic task outlier identification approach for serial manipulator setups to avoid such outliers. The suggested work generates robot tasks in the first stage by recording the joint valu es utilised as the proposed dataset. Then, the metric learning-based Triplet model with convolutional feature learning layers is presented for few -shot feature learning in robot tasks. Each job is represented by an n -dimensional vector, where n represents the robot's degrees of freedom. The robot work comprises about 1500 characters from the Omniglot dataset; therefore, drawing characters from several languages on a canvas is chosen as a test
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Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2022.v7.i04.pp136-142 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Triplet Network based Few Shot Outlier DetectionSystem in Robot Task Planning for reduced failures/unwanted Executions (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: MidhunM. S MidhunM. S publisher: Longman Publishers published: 2022-06-30 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 4 · pp. 136–142 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 98 fields set · sha256 8eff7f92ca43… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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