インピーダンス駆動の異方性誘導場による共有自律支援
Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field
ロボットの意図を人間に物理的・直感的に伝えるため、インピーダンス制御に着想を得た誘導場を共有自律制御に組み込み、タスク性能と協調性を向上させた。
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: Sihan Chen, Hang Xu, Yupu Lu, Chen Wang, Benfang Duan, Ruixing Jia, Jia Pan
分類: cs.RO, cs.HC
原文アブストラクト
Shared autonomy (SA) enables robots to infer human intent and assist in its achievement. While most research focuses on improving intent inference, it overlooks whether humans can understand the robot's intent in return. Without such mutual understanding, collaboration becomes less effective, degrading user experience and task performance. To address this gap, previous studies have explicitly conveyed the robot intent through additional interfaces, which remain unintuitive and limited in expressiveness. Inspired by impedance control, we propose Impedance-Driven Anisotropic Guidance Field Enhanced Shared Autonomy (IAGF-SA), a novel paradigm that extends SA with an embodied, physically-grounded communication channel. This channel adaptively modulates the robot's dynamic response to human input, enabling intuitive, continuous, physically-grounded robot intent communication while naturally guiding human actions. User studies across three scenarios and two teleoperation interfaces indicate that IAGF-SA improves task performance, human-robot agreement, and subjective experience, thus demonstrating its effectiveness in enhancing human-robot communication and collaboration.
関連論文
- 意図推定に基づくモデル予測制御による遠隔操作の共有自律制御共有自律/遠隔操作
- SPIRIT: 深層学習の不確実性下での堅牢なロボット操作のための知覚共有自律共有自律/遠隔操作
