ART-Glove: Articulated Tactile Glove for Contact-Grounded Dexterous Interaction Capture

📅 2026-06-15
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🤖 AI Summary
This work addresses the challenge of capturing high-fidelity manipulation demonstrations rich in contact information while preserving human dexterity. The authors propose a novel tactile glove that, for the first time, integrates an anatomically aligned 22-degree-of-freedom joint structure, explicit contact geometry, and a high-resolution piezoresistive tactile array with 2048 sensing elements into a single wearable system. By covering the fingers, thumb, and palm with 16 rigid functional surfaces, the glove simultaneously records joint kinematics and tactile signals at 120 Hz, enabling synchronized, contact-aware capture of dexterous hand motions. This approach provides high-quality, contact-grounded demonstration data essential for advancing dexterous robotic learning.
📝 Abstract
We present ART-Glove, an articulated tactile glove designed to capture contact-grounded dexterous demonstrations while preserving human dexterity. ART-Glove makes hand-side contact geometry explicit with 16 rigid functional surfaces covering the fingers, thumb, and palm. Twenty-two anatomically aligned joints connect these surfaces and allow them to follow human hand motion during dexterous manipulation. Encoder-based sensing tracks surface motion, while dense piezoresistive tactile sensing records contact over the same surfaces. The complete system captures synchronized 22-DoF joint measurements and 2048-taxel tactile measurements at 120 Hz. We evaluate ART-Glove across experiments on motion freedom, joint sensing, tactile sensing, and contact-rich interaction capture, demonstrating its ability to preserve human dexterity while recording contact-grounded information that can support downstream dexterous robot learning.
Problem

Research questions and friction points this paper is trying to address.

dexterous interaction
tactile sensing
contact capture
hand motion
human demonstration
Innovation

Methods, ideas, or system contributions that make the work stand out.

articulated tactile glove
contact-grounded interaction
dexterous manipulation
joint-tactile sensing
human demonstration capture
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