Self-powered temperature pressure sensing arrays with stepped microcone structure and Bi2Te3-based films for deep learning-assisted object recognition DOI
Yaling Wang, Yue Sun, Wenqiang Li

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588

Published: Nov. 17, 2024

Language: Английский

A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception DOI Creative Commons
Yue Jiang, Fan Lin, Xilong Sun

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract Humans recognize and manipulate objects relying on the multidimensional force features captured by tactile sense of skin during manipulation. Since current sensors integrated in robots cannot support to multiple interaction states between manipulator objects, achieving human‐like perception analytical capabilities remains a major challenge for service robots. Prompted involved performing complex tasks, multimodal sensory system is presented provide situ simultaneous sensing when approaching, touching, manipulating objects. The comprises capacitive sensor owning high sensitivity 1.11E‐2 pF mm −1 , triboelectricity nanogenerator with fast response speed 30 ms, pressure array capable 3D detection. By Combining transfer learning models, which fuses information achieve high‐precision (up 95%) recognition multi‐featured targets such as random hardness texture under sampling conditions, including grasp velocity. This expected enhance intelligent behavior‐planning autonomous tasks undefined surrounding environments.

Language: Английский

Citations

3

Development of a two-mode hydrogel sensor with a thermal diffusion effect for intelligent sensing and temperature warning DOI

Xuze Tang,

Xiaoyu Yang, Peng Wang

et al.

Materials Today Physics, Journal Year: 2025, Volume and Issue: 55, P. 101750 - 101750

Published: May 20, 2025

Language: Английский

Citations

0

Composite hydrogels based on deep eutectic solvents and lysine for pressure sensors and adsorption of Fe3+ DOI Creative Commons
Yajun Jiang, Aolin Wu,

Lin Yang

et al.

RSC Advances, Journal Year: 2024, Volume and Issue: 14(35), P. 25359 - 25368

Published: Jan. 1, 2024

This study explored the preparation of a novel composite hydrogel based on deep eutectic solvent (DES) with lysine (Lys) and its application in pressure sensing Fe 3+ adsorption.

Language: Английский

Citations

2

Time-dependent constitutive behaviors of a dynamically crosslinked glycerogel governed by bond kinetics and chain diffusion DOI
Ji Lin, Md. Tariful Islam Mredha, Rumesh Rangana Manimel Wadu

et al.

Journal of the Mechanics and Physics of Solids, Journal Year: 2024, Volume and Issue: 194, P. 105951 - 105951

Published: Nov. 12, 2024

Language: Английский

Citations

2

Self-Powered System for Real-Time Wireless Monitoring and Early Warning of Uav Motor Vibration Based on Triboelectric Nanogenerator DOI
Kuankuan Wang, Yongming Yao, Yixin Liu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Disentangling Contact Location for Stretchable Tactile Sensors from Soft Waveguide Ultrasonic Scatter Signals DOI Creative Commons
Z. Li, Yuan Lin, Peter B. Shull

et al.

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

Published: Oct. 8, 2024

Flexible tactile sensors have the ability to provide unparalleled levels of sensation, including information regarding roughness, contact force, and location. However, it remains a challenge achieve precise location sensing that is decoupled from sensor strain touching forces. This paper proposes novel data‐driven approach for force (FCLS) with influence forces based on scatter signals (SS) ultrasonic waveguide. First, envelope signal (FCSS) extracted via Hilbert transform, which retrieves global features SS. The time‐frequency spectrogram obtained continuous wavelet extracts local Second, deep convolutional neural network (CNN) utilized extract these separately concentrate them together. Third, outputs CNN, multilayer perception regression model applied acquire experimental results indicate accuracy proposed FCLS method has mean absolute error 0.627 mm relative 3.19%. research provides foundation further multimodal using waveguides its application in robotic sensing.

Language: Английский

Citations

0

Recent advances and new frontier of flexible pressure sensors: structure engineering, performances and applications DOI
Tianhui Jiang, Chunnan Wang,

Tianyi Ling

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: unknown, P. 101576 - 101576

Published: Oct. 1, 2024

Language: Английский

Citations

0

Self-powered temperature pressure sensing arrays with stepped microcone structure and Bi2Te3-based films for deep learning-assisted object recognition DOI
Yaling Wang, Yue Sun, Wenqiang Li

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588

Published: Nov. 17, 2024

Language: Английский

Citations

0