Mechano-Graded Contact-Electrification Interfaces Based Artificial Mechanoreceptors for Robotic Adaptive Reception DOI
Lei Hao, Yixin Cao, Gang Sun

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 22, 2024

Triboelectrification-based artificial mechanoreceptors (TBAMs) is able to convert mechanical stimuli directly into electrical signals, realizing self-adaptive protection and human-machine interactions of robots. However, traditional contact-electrification interfaces are prone reaching their deformation limits under large pressures, resulting in a relatively narrow linear range. In this work, we fabricated mechano-graded microstructures modulate the strain behavior interfaces, simultaneously endowing TBAMs with high sensitivity wide detection The presence step regions within mechanically graded helps resist fast compressive provides effective area. highly sensitive region TBAM 1.18 V/kPa can be effectively extended four times that for devices interfaces. addition, device maintain 0.44 even pressure from 40 600 kPa. has been successfully used as an electronic skin realize grip strength perception commercial robot arm. Finally, angle resolution 2° excellent linearity 99.78% joint bending were also achieved. With aid convolutional neural network algorithm, data glove based on realizes accuracy rate 95.5% gesture recognition dark environment.

Language: Английский

Humidity‐Resistant Wearable Triboelectric Nanogenerator Utilizing a Bound‐Water‐Rich Zwitterionic Hydrogel With Microphase‐Separated Domains DOI Open Access
Yutong Ding,

Hongxin Guo,

Mi Ouyang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 29, 2024

Abstract Triboelectric nanogenerators (TENGs) represent an effective approach for transforming mechanical energy into electrical power, making them suitable wearable electronic applications. Hydrogels as TENGs electrodes are common, but their use direct triboelectric layers remains insufficiently explored. Here, a novel zwitterionic monomer 3‐{1‐[6‐(hydroxymethyl)‐2‐methyl‐3,8‐dioxo‐9‐aza‐4,7‐dioxadodec‐1‐en‐12‐yl]imidazol‐3‐ium‐3‐yl}propane‐1‐sulfonate (VNIPS) is synthesized in combination with acrylic acid (AA) and sulfobetaine methacrylate (SBMA) to create double‐network hydrogel. The hydrogel developed using solvent‐exchange process that facilitated the creation of microphase‐separated domains, notablely increasing its strength (211.9 kPa, 472.3%), conductivity (0.6 mS cm −1 ), anti‐freezing capability (−18.3 °C). In addition, hydrogel's hydrophilic groups interacted water molecules, reducing charge loss humid conditions. When employed positive layer, hydrogel‐based achieved substantial density 456 µC m − 2 output power 464 mW , while maintaining steady open‐circuit voltage (V oc ) 97 V, 92% retention under 80% relative humidity. Moreover, strong adhesion biocompatibility make it applications, such motion sensing Morse code communication. This work demonstrates feasibility hydrogels materials, providing new strategy creating efficient, humidity‐resistant harvesters.

Language: Английский

Citations

10
A Dual-Mode Transparent Flexible Pressure Sensor Array for Tactile Sensing Visualization DOI
Chenyu Fang, Leilei Zhao, Wanwan Su

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 161618 - 161618

Published: March 1, 2025

Language: Английский

Citations

1
High-Temperature-Resistance Flexible Piezoelectric Sensor via Cyclized PAN/BTO Nanofibers DOI
Tingting Zhou, Shenglong Wang,

Yong Ao

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110910 - 110910

Published: March 1, 2025

Language: Английский

Citations

0
The structure, material and performance of multi-functional tactile sensor and its application in robot field: A review DOI
Tianwei Liang, Zirui Liu, Hao Zhang

et al.

Materials Today, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Algorithmically Enhanced Wearable Multimodal Emotion Sensor DOI Creative Commons
Anand Babu,

Getnet Kassahun,

Isabelle Dufour

et al.

Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 24, 2024

Sensing diverse human emotions offers significant potential for understanding deeper cognitive processes and diagnosing neurological diseases. However, capturing the full spectrum of remains a challenge due to their intricate subjective nature. Traditional emotion‐sensing techniques often focus on singular emotions, limiting ability grasp complexity emotional experiences. Herein, fully printed, organic wearable sensor capable multimodal emotion sensing by noninvasively monitoring physiological indicators such as heart rate, breathing patterns, voice signatures is presented. The recorded signals are processed using long short‐term memory (LSTM) neural network, achieving over 91% classification accuracy in distinguishing different through data fusion approach, showing >9% enhancement compared feature fusion. As proof concept, Q‐learning implemented with simulate responses robotic model. study's approach provides pathway complex enhances capabilities effective human–machine interaction.

Language: Английский

Citations

2
Mechano-Graded Contact-Electrification Interfaces Based Artificial Mechanoreceptors for Robotic Adaptive Reception DOI
Lei Hao, Yixin Cao, Gang Sun

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 22, 2024

Triboelectrification-based artificial mechanoreceptors (TBAMs) is able to convert mechanical stimuli directly into electrical signals, realizing self-adaptive protection and human-machine interactions of robots. However, traditional contact-electrification interfaces are prone reaching their deformation limits under large pressures, resulting in a relatively narrow linear range. In this work, we fabricated mechano-graded microstructures modulate the strain behavior interfaces, simultaneously endowing TBAMs with high sensitivity wide detection The presence step regions within mechanically graded helps resist fast compressive provides effective area. highly sensitive region TBAM 1.18 V/kPa can be effectively extended four times that for devices interfaces. addition, device maintain 0.44 even pressure from 40 600 kPa. has been successfully used as an electronic skin realize grip strength perception commercial robot arm. Finally, angle resolution 2° excellent linearity 99.78% joint bending were also achieved. With aid convolutional neural network algorithm, data glove based on realizes accuracy rate 95.5% gesture recognition dark environment.

Language: Английский

Citations

2