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マトリックス・デリバティブ・オブザーバーによるZNNによるヒト型上肢ロボットの設計と軌道追跡制御
Hong Yin1, Hongzhe Jin1, Yuchen Peng1
1School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150080, China.
Biomimetics (Basel, Switzerland)
|August 27, 2025
まとめ
この研究で22DOFの新型ヒューマノイドロボットを導入し 両腕の能力を強化しました 革新的なオブザーバーは 複雑なロボットシステムの軌道を改善し 作業空間と精度を大幅に拡大します
科学分野:
- ロボット
- 制御システム
- 人工知能
背景:
- 人間型ロボットには高度な能力がありますが 軌道を正確にたどることは困難です
- 従来のゼロング・ニューラル・ネットワーク (ZNN) コントローラーは,ジャコビアン・マトリックス・デリバティブに大きく依存し,パフォーマンスを制限する.
- 既存のロボットシステムは 作業スペースと追跡精度が 制限されていることが多いです
研究 の 目的:
- ヒトのバイオメカニクスに触発された ヒト型上肢ロボットを紹介します
- ZNNベースの軌道追跡のための統合強化マトリックスデリバティブオブザーバー (IEMDO) を導入する.
- 人間型ロボットアームの 作業空間と制御精度を向上させるため
主な方法:
- 標準化された空洞関節モジュールを用いて ヒト型ロボットシステムを設計した.
- 非線形フィードバックと整数補正を組み込んだIEMDOを開発し,マトリックスデリバティブを推定しました.
- IEMDOをZNNコントローラと統合して軌道を追跡する.
主要な成果:
- 提案されたヒューマノイドロボットは 87.7%の総作業スペースと 3.683倍の共同作業スペースの拡張を達成しました
- IEMDOは,ノイズに対する高い強度で正確なリアルタイムマトリックス推計を証明しました.
- 高精度の軌道追跡は,シミュレーションと現実世界の実験で達成されました.
結論:
- 22DOFの新型ヒューマノイドロボットは 作業空間と生体力学的なインスピレーションを 大きく改善しています
- IEMDOは,ZNNコントローラにおけるマトリックスデリバティブの正確な推定のための理論的に健全で実用的なソリューションを提供します.
- 統合されたフレームワークは高性能で冗長なヒューマノイドアーム制御を可能にし,ヒューマノイドロボティックの分野を前進させます.
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