{ "ok": true, "doi": "10.46243/jst.2022.v7.i04.pp136-142", "doi_display": "10.46243/jst.2022.v7.i04.pp136-142", "doi_url": "https://doi.org/10.46243/jst.2022.v7.i04.pp136-142", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/659", "title": "Triplet Network based Few Shot Outlier DetectionSystem in Robot Task Planning for reduced failures/unwanted Executions", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:23", "updated_at": "2026-09-29 23:59:41", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2022.v7.i04.pp136-142", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Triplet Network based Few Shot Outlier DetectionSystem in Robot Task Planning for reduced failures/unwanted Executions", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2022.v7.i04.pp136-142" } ], "agents": [ { "role": "author", "name": { "given": "MidhunM. S", "family": "MidhunM. S" }, "sequence": "first" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2022-06-30", "date_type": "PublicationDate", "online": "2022-06-30" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "7", "issue": "4", "pages": { "first": "136", "last": "142" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/659", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/659/587", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/659/2108", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/admin/uploads/JST070434.pdf", "purpose": "similarity-checking" } ], "abstract": { "value": "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", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2022-06-30", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/robot.2007.363693", "unstructured": "Jo-Anne Ting, Aaron D’Souza, and Stefan Schaal. Automatic outlier detection: A bayesian approach. In Proceedings 2007 IEEE International Conference on Robotics and Automation, pages 2489–2494. 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IEEE, 2005" } ], "record": { "registrant": "Longman Publishers", "registered": "2024-02-16", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "b45b9ac901a69d3043d413c03852dbc5951a0ea1aba32e9e6f4f29572211d2b8", "handle": { "synced_at": "2026-10-01 18:12:28", "url": "https://www.jst.org.in/index.php/pub/article/view/659" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2022.v7.i04.pp136-142", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2022.v7.i04.pp136-142&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2022.v7.i04.pp136-142", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2022.v7.i04.pp136-142&as=xml" } }