ACE-F: 力覚フィードバックを備えた異形態間対応の折りたたみ式巧みな遠隔操作システム
ACE-F: A Cross Embodiment Foldable System with Force Feedback for Dexterous Teleoperation
折りたたみ可能な遠隔操作システムACE-Fを提案し、逆運動学と人間-ロボットインターフェースで精密な操作を実現、エンドエフェクタの位置偏差を仮想力として力覚フィードバックを異形態ロボットに汎化した。
詳しい要約
1. どんなもの？
2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
4. どうやって有効だと検証した？
5. 議論はある？
6. 次に読むべき論文は？
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Rui Yan, Jiajian Fu, Shiqi Yang, Lars Paulsen, Xuxin Cheng, Xiaolong Wang
分類: cs.RO
原文アブストラクト
Teleoperation systems are essential for efficiently collecting diverse and high-quality robot demonstration data, especially for complex, contact-rich tasks. However, current teleoperation platforms typically lack integrated force feedback, cross-embodiment generalization, and portable, user-friendly designs, limiting their practical deployment. To address these limitations, we introduce ACE-F, a cross embodiment foldable teleoperation system with integrated force feedback. Our approach leverages inverse kinematics (IK) combined with a carefully designed human-robot interface (HRI), enabling users to capture precise and high-quality demonstrations effortlessly. We further propose a generalized soft-controller pipeline integrating PD control and inverse dynamics to ensure robot safety and precise motion control across diverse robotic embodiments. Critically, to achieve cross-embodiment generalization of force feedback without additional sensors, we innovatively interpret end-effector positional deviations as virtual force signals, which enhance data collection and enable applications in imitation learning. Extensive teleoperation experiments confirm that ACE-F significantly simplifies the control of various robot embodiments, making dexterous manipulation tasks as intuitive as operating a computer mouse. The system is open-sourced at: https://acefoldable.github.io/
