SOURCE-LINKED INTELLIGENCE

Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Capturing hand pose during dexterous manipulation remains difficult: vision-based methods degrade under occlusion and challenging lighting, while sensorized gloves, though occlusion-free, are prone to drift and magnetic interference and rarely match motion-capture accuracy. We introduce a fiber optic sensing glove for full hand pose tracking that targets these failure modes, using multi-core shape-sensing fibers that capture each fiber's full 3D shape rather than curvature alone. A novel pipeline registers each reconstructed fiber shape to a common hand reference frame, and a new inverse-kinem

Read original source ↗ Open in workspace

recordType

paper

region

Global