{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241867","sets":["6164:6165:9654:11891"]},"path":["11891"],"owner":"44499","recid":"241867","title":["Automated Scenario Generation for Autonomous Robots using Large Language Models"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-12-27"},"_buckets":{"deposit":"efbcc592-6684-4876-a39d-c1a5d8df8fa4"},"_deposit":{"id":"241867","pid":{"type":"depid","value":"241867","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Automated Scenario Generation for Autonomous Robots using Large Language Models","author_link":["666596","666597","666595","666598"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Automated Scenario Generation for Autonomous Robots using Large Language Models"},{"subitem_title":"Automated Scenario Generation for Autonomous Robots using Large Language Models","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2024-12-27","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Shibaura Institute of Technology"},{"subitem_text_value":"Shibaura Institute of Technology"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/241867/files/IPSJ-APRIS2024007.pdf","label":"IPSJ-APRIS2024007.pdf"},"date":[{"dateType":"Available","dateValue":"2026-12-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-APRIS2024007.pdf","filesize":[{"value":"919.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"42"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c02c597f-e090-43f0-8a09-9749207f8cb4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kyoji, Tanaka"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Hisazumi"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kyoji, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kenji, Hisazumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In recent autonomous robot development, there is a growing need for early problem detection through cost-effective validation and countermeasures using simulation testing. However, there are still many challenges in the automatic generation of test scenarios and the diversity and complexity of the tests. This paper proposes a more accurate drone simulation that meets user requirements by conducting scenario-based testing using the Hakoniwa platform, which allows for IoT and robot software development in a virtual environment, and Large Language Models (LLM).","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent autonomous robot development, there is a growing need for early problem detection through cost-effective validation and countermeasures using simulation testing. However, there are still many challenges in the automatic generation of test scenarios and the diversity and complexity of the tests. This paper proposes a more accurate drone simulation that meets user requirements by conducting scenario-based testing using the Hakoniwa platform, which allows for IoT and robot software development in a virtual environment, and Large Language Models (LLM).","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"46","bibliographic_titles":[{"bibliographic_title":"Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform"}],"bibliographicPageStart":"45","bibliographicIssueDates":{"bibliographicIssueDate":"2024-12-27","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":241867,"updated":"2025-01-19T07:31:00.048086+00:00","links":{},"created":"2025-01-19T01:46:43.932424+00:00"}