Dec 2026· IEEE Robotics and Automation Letters· Vol 11, pp. 13797-13804· 0 citations· 31 references
TL;DR
Synchronized teleoperation experiments with a human hand and a robotic hand demonstrate consistent tactile responses during rigid and soft object manipulation, supporting PofTac as a shared tactile sensing interface, a foundational step toward future human-to-robot skill transfer.
Abstract
Transferring human manipulation skills to robotic hands requires tactile data beyond kinematic demonstrations, including contact location, force magnitude, and force distribution. Existing wearable tactile interfaces, however, are limited by motion artifacts, electromagnetic interference (EMI), restricted sensing range, and insufficient cross-platform compatibility. This paper presents PofTac, a plastic optical fiber (POF)-based wearable fingertip tactile sensor designed to provide a shared tactile sensing domain across human and robotic fingertips, a key enabler for future human-to-robot skill transfer. PofTac uses light intensity modulation based on Cladding Mode Frustrated Total Internal Reflection (CMFTIR), where contact between a polymer soft pad and pre-bent woven POFs induces force-dependent optical loss. The compact 2 × 3 array is 3 mm thick and weighs 1.98 g, enabling integration on both human and robotic fingertips. With multilayer perceptron (MLP)-based calibration, PofTac achieves sub-millimeter contact localization and a normal-force error of 0.424 N over a 15 N sensing range, while maintaining a 12.2 mN force threshold and robustness against motion artifacts and EMI. Synchronized teleoperation experiments with a human hand and a robotic hand demonstrate consistent tactile responses during rigid and soft object manipulation, supporting PofTac as a shared tactile sensing interface, a foundational step toward future human-to-robot skill transfer.
GlowTact, a pressure-responsive vision-based tactile sensing mechanism that directly visualizes contact pressure, is introduced, combining a durable nitrile membrane and simple optical design with sensitive and information-rich tactile perception.
Yu-Xiang Ma, Megha Tippur, Peng-Fei Ye et al.· 0 citations
A growing body of work suggests that tactile sensing gives robot policies contact information that complements vision in dexterous manipulation. However, visuo-tactile robot data remains scarce: dexterous demonstrations require teleoperating robots, which limits dataset scale. Human demonstrations are far cheaper to co...
Jing-Yun Yang, Bai-Yu Shi, Timothy Yu et al.· 0 citations
Tactile sensing has become a key enabling technology for robotic manipulation by providing robots with information about physical interactions, including contact, force, slip, and object properties. Among the various tactile sensing approaches, RoboSkin employs commercially available MEMS pressure sensors embedded with...
Thomas Kammerhofer, Thomas Fazokas, Thomas Thurner· e+i Elektrotechnik und Infor...· 0 citations
Electronic skins capable of precise tactile perception under large mechanical deformations are critical for the advancement of soft robotics and wearable interfaces. However, achieving force and position perception in ultrathin flexible sensors while maintaining stable performance under mechanical deformation remains...
Humanoid hands require tactile feedback across the whole finger, not just the fingertip, to grasp and manipulate objects properly. Vision and proprioception alone cannot reliably provide this information, particularly when the hand's own fingers occlude the camera's view of the grasp. We present a low-cost tactile arra...
Neel Adwani, Muhaiminul Islam Akash, Rituja Bhattacharya et al.· 0 citations
Robotic minimally invasive surgery has revolutionized surgical practice. However, as the surgeons are mechanically separated from the surgical tools, loss of tactile feedback occurs. We present a compact force sensor with three, millimeter scale sensing elements (taxels) that can be affixed to the grasping face of a ro...
Charles DeLorey, M. Brockdorff, A. Metcalf et al.· 0 citations
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