puc-header

A Damage-Perceptive, Self-Healing Electronic Skin with Millimeter Resolution

20 Pages Posted: 5 Mar 2025 Publication Status: Accepted

See all articles by Samuel Evan Root

Samuel Evan Root

Stanford University; Harvard University - Department of Chemistry and Chemical Biology

Can Wu

Stanford University

Hojung Choi

Stanford University

Eric Sun

Stanford University

Gradie Ngaruka

Stanford University

Hyunchang Park

Stanford University

Alexandra L. Ramos Figueroa

Stanford University

Arielle Berman

Stanford University

Diego Uruchurtu Patino

Stanford University

Yuran Shi

Stanford University

Carla Pugh

Stanford University

Zhenan Bao

Stanford University

More...

Abstract

In living tissue, pain provides a localized alert to damage and elicits an adaptive response, including the ability to heal. Mimicking these abilities in soft robotics is a key challenge with implications for durability, repairability, and device functionality. Here, we design a self-healing electronic skin capable of sensing damage inflicted by scalpels and needles at ~1 millimeter resolution over ~10 cm2. Our approach integrates a set of functional self-healing composites, scalable prototyping processes, and multilayer circuit designs to precisely sense the position of damage in multiple spatial dimensions and functionally repairing from ~1–100 cycles of damage, depending upon the multilayer structure and mechanism of damage. In our design, unidirectional voltage gradients with a linear dependence on position are applied across resistive ‘drive’ layers. Analog ‘sense’ layers detect lateral position and depth of metal objects by sensing the voltage upon formation of an electrical contact with the drive layer(s) during damage within the active sensing area. These functional electronic layers can be arranged into various stacked configurations, separated by self-healing insulating layers, to achieve a multitude of sensing modalities including one-, two-, and three-dimensional sensing of damage position over time. Proof-of-concept experiments validate these sensing capabilities through comparison to synchronized measurements obtained with an underlying precision 6-axis force sensor. The ability to precisely detect punctures and incisions in soft, self-healable materials at millimeter resolution may have implications in the development of reusable, multisensory surgical simulation technology for training medical personnel and evaluating efficacy of surgical robotic systems.

Keywords: self-healing devices, damage-sensing, functional composites, soft robotics, electronic skins

Suggested Citation

Root, Samuel Evan and Wu, Can and Choi, Hojung and Sun, Eric and Ngaruka, Gradie and Park, Hyunchang and Ramos Figueroa, Alexandra L. and Berman, Arielle and Patino, Diego Uruchurtu and Shi, Yuran and Pugh, Carla and Bao, Zhenan and Administrator, Sneak Peek, A Damage-Perceptive, Self-Healing Electronic Skin with Millimeter Resolution. Available at SSRN: https://ssrn.com/abstract=5165214 or http://dx.doi.org/10.2139/ssrn.5165214
This version of the paper has not been formally peer reviewed.

Samuel Evan Root

Stanford University ( email )

Harvard University - Department of Chemistry and Chemical Biology ( email )

12 Oxford Street
Cambridge, MA
United States

Can Wu

Stanford University ( email )

Stanford, CA 94305
United States

Hojung Choi

Stanford University ( email )

Stanford, CA 94305
United States

Eric Sun

Stanford University ( email )

Stanford, CA 94305
United States

Gradie Ngaruka

Stanford University ( email )

Stanford, CA 94305
United States

Hyunchang Park

Stanford University ( email )

Stanford, CA 94305
United States

Alexandra L. Ramos Figueroa

Stanford University ( email )

Stanford, CA 94305
United States

Arielle Berman

Stanford University ( email )

Stanford, CA 94305
United States

Diego Uruchurtu Patino

Stanford University ( email )

Stanford, CA 94305
United States

Yuran Shi

Stanford University ( email )

Stanford, CA 94305
United States

Carla Pugh

Stanford University ( email )

Zhenan Bao (Contact Author)

Stanford University ( email )

Stanford, CA 94305
United States

Click here to go to Cell.com

Paper statistics

Downloads
6
Abstract Views
145
PlumX Metrics