Automotive Engineering-Centric Agentic AI Workflow Framework
- 提供方法
- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込)：￥1,100 会員価格(税込)：￥880
- 文献番号
- 20265085
- 文献・情報種別
- 学術講演会予稿集（春）
No.19-26
- 掲載ページ
- 1-8(Total 8 p)
- 発行年月
- 2026年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年春季大会
書誌事項
| 著者 | 1) Tong Duy Son, 2) Zhihao Liu, 3) Piero Brigida, 4) Yerlan Akhmetov, 5) Gurudevan Devarajan, 6) Kai Liu, 7) Ajinkya Bhave |
|---|---|
| 著者（英） | 1) Tong Duy Son, 2) Zhihao Liu, 3) Piero Brigida, 4) Yerlan Akhmetov, 5) Gurudevan Devarajan, 6) Kai Liu, 7) Ajinkya Bhave |
| 勤務先 | 1) Siemens Digital Industries Software, 2) Siemens Digital Industries Software, 3) Siemens Digital Industries Software, 4) Siemens Digital Industries Software, 5) Siemens Digital Industries Software, 6) Siemens Digital Industries Software, 7) Siemens Digital Industries Software |
| 勤務先（英） | 1) Siemens Digital Industries Software, 2) Siemens Digital Industries Software, 3) Siemens Digital Industries Software, 4) Siemens Digital Industries Software, 5) Siemens Digital Industries Software, 6) Siemens Digital Industries Software, 7) Siemens Digital Industries Software |
| 抄録（英） | AI Agents based on foundation models have potential to support automotive engineers in model-based design development. We present an industrial Copilot ecosystem with orchestrator and specialized agents managing complex automotive tasks. Engineers specify design requirements; agents coordinate 1D-3D simulations, CFD, ROM AI models, and design exploration tools. Moreover, AI agents could leverage historical data, requirements, codes, simulation configurations and test data analysis scripts. Our technologies enhance trustworthiness through engineer-centric design with feedback loops. Results demonstrate faster workflows, seamless integration across CAD-CFD tools, optimization, and human-AI collaboration for automotive applications. 翻訳 |
