A customizable electronic skin developed by Washington State University researchers detects pressure and temperature across flat and curved prosthetic surfaces. The modular system combines 3D printing and laser cutting with sensing at ten times the resolution of current commercial glove sensors, laying the groundwork for prosthetics that could eventually provide tactile feedback.
A robotic hand fitted with 3D-printed sensor module developed by the research team from Washington State University. The electronic skin can detect pressure and temperature at a fine level, laying the groundwork for bionic skin that could be used on prosthetics to help amputees and others.
(Source: Sravanthi Yalamanchili/ WSU)
An electronic skin with a sensing system that can detect pressure and temperature could someday be used to help amputees gain feeling in their prosthetics. The work, led by Washington State University researchers and published in the journal Cell Reports Physical Science, can sense at ten times a finer scale than current commercial glove sensors.
“This approach democratizes the production of medical-grade e-skins, making advanced tactile feedback viable for widespread clinical adoption,” said Hongyi Shen, graduate student in the School of Mechanical and Materials Engineering and first author on the paper. “This work lays a crucial foundation for a full bionic skin with both sensing and haptic stimulation functions on prosthetics.”
Haptic stimulation replicates the sense of touch. Providing even partial sensation for amputees could greatly improve their ability to perform tasks. While there are electronic skins available now, they are expensive and have low sensing resolution. They also often don’t fit people well and only cover small regions. In fact, the more that e-skins are made to a custom shape, the worse they perform in sensing ability. Furthermore, the large amount of data generated from the sensing arrays mean that they don’t work well in real-time.
“Often these devices are forced to compromise between comfort and mechanical reliability,” said Shen.
The WSU researchers developed a customizable sensing system for prosthetics that conforms to the freeform shape of limbs and better mimics real human skin in its sensing abilities. The sensor modules they created are thin-layered sandwiches that incorporate temperature and pressure sensors. The elements allow human-like tactile sensing, enabling reliable identification of surface texture and material properties.
The researchers used a “scan-model-print” manufacturing method that allows for high-density sensing at the same time as the personalized, 3D fabrication.
“The scanner basically scans the prosthetic and then, based on the geometry, we map our sensors as a multimodal sensing system with that geometry,” said Kaiyan Qiu, Berry Family Assistant Professor in the School of Mechanical and Materials Engineering and corresponding author on the paper. “This enables our sensing system to have seamless coverage over the freeform region on the prosthetics.”
The sensors are accurate and reliable and can measure both pressure and temperature at a high density across a flat or curved surface. Rather than requiring adhesives, modules of sensors snap together like Legos.
“Our main manufacturing method using 3D printing and laser cutting is relatively simple, so it could be relatively low cost and convenient,” said Qiu.
The project was partially supported by WSU’s National Science Foundation Research Traineeship in Next-Generation Robotics (NRT-Lead), led by Prashanta Dutta, Richard Schneider Jr. Professor and director in the School of Mechanical and Materials Engineering. Dutta is also a corresponding author on the paper. Additional support was provided by Qiu’s WSU startup and Cougar Cage funds.
The researchers have submitted an invention disclosure for a provisional patent with the WSU Office of Research Innovation and Entrepreneurship team. They are also working on an actuator that will eventually convert the sensing signals of the e-skin to let an amputee know what they’re touching. That would entail converting the sensing signals to stimulation and signaling of nearby nerves.
Date: 08.12.2025
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Shen, who is an NRT-Lead trainee, said he has had a longtime interest in helping people in rehabilitation settings and has a background in sensor work and 3D printing.
“By doing this, I combined my interests,” he said. “I think what we are doing in this project is really someday going to help amputees make their life easier with our device.”
Original Article: A geometry-aware and customizable multimodal sensing system for texture and material identification in prosthetics; Cell Reports Physical Science; DOI:10.1016/j.xcrp.2026.103458