多指把持における反射的スリップ制御：触覚センシングと内力最適化のハイブリッド
Reactive Slip Control in Multifingered Grasping: Hybrid Tactile Sensing and Internal-Force Optimization
圧電・ピエゾ抵抗触覚センサを組み合わせてスリップを高速検出し、モデルベースの内力制御で物体を把持したまま反射的に安定化する枠組みを構築した。
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著者: Théo Ayral, Saifeddine Aloui, Mathieu Grossard
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
We build a low-level reflex control layer driven by fast tactile feedback for multifinger grasp stabilization. Our hybrid approach combines learned tactile slip detection with model-based internal-force control to halt in-hand slip while preserving the object-level wrench. The multimodal tactile stack integrates piezoelectric sensing (PzE) for fast slip cues and piezoresistive arrays (PzR) for contact localization, enabling online construction of a contact-centric grasp representation without prior object knowledge. Experiments demonstrate reactive stabilization of multifingered grasps under external perturbations, without explicit friction models or direct force sensing. In controlled trials, slip onset is detected after 20.4 +/- 6 ms. The framework yields a theoretical grasp response latency on the order of 30 ms, with grasp-model updates in less than 5 ms and internal-force selection in about 4 ms. The analysis supports the feasibility of sub-50 ms tactile-driven grasp responses, aligned with human reflex baselines.
