人形の手の器用な手のオムニディレクショナルな姿勢認識のためのソフトセンサー

Liang Zhong¹, Xiaoqing Tian², Jiyong Wang³

¹Institute of Exercise Science and Health Engineering, Zhejiang University, Hangzhou, 310058, China.

Microsystems & nanoengineering

|February 12, 2026

まとめ

研究者らは,ヒューマノイドの手のための新しい柔らかい曲げセンサーを開発しました. このセンサーは,繊細なロボット操作のタスクの姿勢認識と熟練性を改善します.

科学分野:

ロボット工学ロボット工学ロボット工学
バイオミメティクスとは
センサー技術センサー技術

背景:

ヒュマノイドの手は,巧妙な操作のために高度なプロプロセプションを必要とします.
既存のロボットハンドには,人間の手の複数度の自由度 (DoF) の動きと正確な姿勢認識が欠けていることが多い.
人間の手の能力を模倣するセンサーの開発は,ロボットの熟練性を高めるために不可欠です.

研究の目的:

ヒト型の利口な手のための新型オムニディレクションの柔らかい曲げセンサーを開発する.
ロボットのための繊細な操作のタスクの姿勢認識と熟練度を向上させるため.
ロボットハンドのマルチDOFモーション能力を高めるため.

主な方法:

18のアクティブなDoFと5つの硬直柔軟な構造の指を持つ人形手腕を設計しました.
セグメンテッドポリメチルメタクリラート (PMMA) 光ファイバー,三色LED,色検知器を用いた全方向性屈折センサーを組み込みました.
センサーは,メタカルポファランゲアル関節のピッチとヤウの角度を検出するように設計されました.

主要な成果:

開発されたセンサーは,優れた測定性能を示した.
センサーは,さまざまなタスクで高い安定性と重複性を示しました.
剪刀の使用,コンピュータマウスの操作,ピアノの演奏などのタスクに成功裏に適用されます.

結論:

新型オムニディレクショナル・ソフト・ブーイング・センサは,ヒューマノイドの利口な手の姿勢認識を大幅に改善します.
この技術は,ロボットハンドのマルチDOF運動とオムニディレクショナルポーズ認識における主要な課題に取り組んでいます.
これらの進歩は,繊細な操作アプリケーションにおいて,より能力のあるヒューマノイドロボットへの道を開いている.

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