Soft Artificial Skin with Multi-Modal Sensing Capability Using Embedded Liquid Conductors - Robotics Institute Carnegie Mellon University

Soft Artificial Skin with Multi-Modal Sensing Capability Using Embedded Liquid Conductors

Yong-Lae Park, Bor-rong Chen, and Robert J. Wood
Conference Paper, Proceedings of IEEE SENSORS, pp. 81 - 84, October, 2011

Abstract

We describe the design, fabrication and calibration of a highly compliant mechanism to be used as an artificial skin sensor. The artificial skin sensor consists of multilayered mircochannels filled with a conductive liquid capable of detecting multi-axis strains and contact pressure. A novel manufacturing method composed of layered molding and casting processes was proposed to fabricate a multilayered soft sensor circuit. Silicone rubber layers with channel patterns, cast with 3D printed molds, were bonded to create embedded microchannels, and a conductive liquid was injected into the microchannels. The channel dimensions are 200um × 200um for strain sensing and 500um (width) × 200um (height) for pressure sensing. The size of the sensor is 25mm × 25mm, and the thickness is approximately 3.5mm. The prototype was tested with a materials tester and showed linearity in strain sensing and nonlinearity in pressure sensing. The sensor signal was repeatable in both cases.

BibTeX

@conference{Park-2011-7400,
author = {Yong-Lae Park and Bor-rong Chen and Robert J. Wood},
title = {Soft Artificial Skin with Multi-Modal Sensing Capability Using Embedded Liquid Conductors},
booktitle = {Proceedings of IEEE SENSORS},
year = {2011},
month = {October},
pages = {81 - 84},
}