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人と機械の共同創造に基づく自動車座席のコンセプト・ジェネレーション設計に関する研究
Yunpeng Bai1,2,3, Min Zhao1,2,3, Yuanjun Li2
1School of Mechatronic Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
Scientific reports
|September 1, 2025
まとめ
この研究は,革新的な自動車の座席設計のためのResNet-DCGANを使用した人間と機械の共同創造の枠組みを紹介しています. 非専門家の障壁を軽減し,製品開発における学際的な協力とAI主導の創造性を強化します.
科学分野:
- エンジニアリング
- コンピュータ科学
- デザイン研究
背景:
- 伝統的な自動車のシートデザインは複雑で,学際的な投入を制限する可能性があります.
- 製品デザインにおける創造性とアクセシビリティの向上は 継続的な課題です
研究 の 目的:
- 自動車シートの概念設計のための人間と機械の共同創造の枠組みを開発する.
- AIを活用し,特にResNet-DCGANを活用し,クリエイティビティを高め,非専門家のデザインの障壁を軽減します.
- 製品デザインにおけるAIによるクリエイティビティ増強の実現可能性を 示すこと
主な方法:
- 車のシート画像のデータセットを作りました
- 3つのキーステージで 創発的なデザイン戦略を実装しました
- 設計生成のために改良されたディープ・コンボリューション・ジェネラティブ・アドバサリアル・ネットワーク (ResNet-DCGAN) を利用した.
主要な成果:
- ResNet-DCGANの枠組みは,ユーザーからの入力から革新的な自動車座席設計スキームを成功裏に生み出しました.
- 革新的思考を刺激し デザインの難易度を低減しました
- このシステムは,公共の美学的な要求を満たすデザインを提供しました.
結論:
- ResNet-DCGANのような人工知能を駆使した 人間と機械の共同創造のフレームワークは 製品設計プロセスを大幅に改善できます
- このアプローチは学際的なイノベーションを促し,複雑な設計作業をより容易にする.
- この研究は,将来の人と機械のコラボレーションによるイノベーション研究のための理論的基礎を提供します.
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