UltraTac: Integrated Ultrasound-Augmented Visuotactile Sensor for Enhanced Robotic Perception
Junhao Gong, Kit Wa Sou, Shoujie Li, Changqing Guo, Yan Huang, Chuqiao Lyu, Ziwu Song, Wenbo Ding
Abstract
Visuotactile sensors provide high-resolution tactile information but are incapable of perceiving the material features of objects. We present UltraTac, an integrated sensor that combines visuotactile imaging with ultrasound sensing through a coaxial optoacoustic architecture. The design shares structural components and achieves consistent sensing regions for both modalities. Additionally, we incorporate acoustic matching into the traditional visuotactile sensor structure, enabling the integration of the ultrasound sensing modality without compromising visuotactile performance. Through tactile feedback, we can dynamically adjust the operating state of the ultrasound module to achieve more flexible functional coordination. Systematic experiments demonstrate three key capabilities: proximity sensing in the 3–8 cm range (R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.99), material classification (average accuracy: 99.20%), and texture-material dual-mode object recognition achieves 92.11% accuracy on a 15-class task. Finally, we integrate the sensor into a robotic manipulation system to concurrently detect container surface patterns and internal content, which verifies its promising potential for advanced human-machine interaction and precise robotic manipulation.
BibTeX
@inproceedings{iros2025_ultratacintegrat,
title = {UltraTac: Integrated Ultrasound-Augmented Visuotactile Sensor for Enhanced Robotic Perception},
author = {Junhao Gong and Kit Wa Sou and Shoujie Li and Changqing Guo and Yan Huang and Chuqiao Lyu and Ziwu Song and Wenbo Ding},
booktitle = {IROS 2025},
year = {2025}
}