Skin‐Inspired, High‐Resolution, Intelligent Aerosol Jet 3D‐Printed Palmtop with Multisensory Integration

Electronic skin (E‐skin) with multimodal sensing demonstrates significant capability in acquiring object characteristics grasped by robotic artifacts. As the spatial resolution of the sensing nodes increases on the E‐skin, it introduces challenges related to compact design and wiring. Herein, the design, fabrication, and characterization of an ultrathin, ultralow cost, highly compact, and flexible multimodal sensing hierarchical palmtop with 390 piezoresistive tactile pressure sensing nodes and 5 capacitive hydration sensing nodes are presented. Each tactile pressure sensing node consists of two 3D‐printed Ag nanoparticle ink electrodes sandwiching a piezoresistive film. The hydration sensing nodes in contrast are capacitive type with 3D‐printed Archimedean spiral Ag nanoparticle ink electrodes. Upon characterization, the pressure sensors exhibit a sensitivity of 1.188 kPa −1 and an impressive sensing range from 10 to 600 kPa. Meanwhile, the hydration sensing nodes display a sensitivity of 3.124 per percentage increase in hydration level, with a hydration sensing range of 25%–75%. Subsequently, machine learning is used to discriminate the region touched on the palmtop, object shapes, and hydration levels. Given its multifaceted capabilities, this palmtop is poised to find potential applications in various robotic contexts such as robotic hands, rehabilitation hand exoskeletons, and in the sphere of augmented reality.

Authors

Institutions

Publication Details

Journal
Advanced Engineering Materials
Published
2025-02-18
DOI
https://doi.org/10.1002/adem.202401988
Citations
4
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
5.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Skin‐Inspired, High‐Resolution, Intelligent Aerosol Jet 3D‐Printed Palmtop with Multisensory Integration

Guo Liang Goh, Laya Pothunuri, Guanbo Chen, Anoop Kumar Sinha et al.
4 citations
Advanced Engineering Materials
Tactile and Sensory Interactions
5.72
article

Skin‐Inspired, High‐Resolution, Intelligent Aerosol Jet 3D‐Printed Palmtop with Multisensory Integration

Guo Liang Goh, Laya Pothunuri, Guanbo Chen, Anoop Kumar Sinha, Wei Qi Jaw, Wai Yee Yeong, Yiyu Cai
article en
4 citations

Abstract

Electronic skin (E‐skin) with multimodal sensing demonstrates significant capability in acquiring object characteristics grasped by robotic artifacts. As the spatial resolution of the sensing nodes increases on the E‐skin, it introduces challenges related to compact design and wiring. Herein, the design, fabrication, and characterization of an ultrathin, ultralow cost, highly compact, and flexible multimodal sensing hierarchical palmtop with 390 piezoresistive tactile pressure sensing nodes and 5 capacitive hydration sensing nodes are presented. Each tactile pressure sensing node consists of two 3D‐printed Ag nanoparticle ink electrodes sandwiching a piezoresistive film. The hydration sensing nodes in contrast are capacitive type with 3D‐printed Archimedean spiral Ag nanoparticle ink electrodes. Upon characterization, the pressure sensors exhibit a sensitivity of 1.188 kPa −1 and an impressive sensing range from 10 to 600 kPa. Meanwhile, the hydration sensing nodes display a sensitivity of 3.124 per percentage increase in hydration level, with a hydration sensing range of 25%–75%. Subsequently, machine learning is used to discriminate the region touched on the palmtop, object shapes, and hydration levels. Given its multifaceted capabilities, this palmtop is poised to find potential applications in various robotic contexts such as robotic hands, rehabilitation hand exoskeletons, and in the sphere of augmented reality.

Advanced Engineering MaterialsVol. 27(7)
Nanyang Technological University (SG)
Nanyang Technological University
Openalex Percentile: Top 5%
Tactile and Sensory Interactions
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Skin‐Inspired, High‐Resolution, Intelligent Aerosol Jet 3D‐Printed Palmtop with Multisensory Integration — Guo Liang Goh, Laya Pothunuri, et al. · Advanced Engineering Materials (2025) | TGRS Research Map | TGRS