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Increasing amounts of attention are being paid to the study of Soft Sensors and Soft Systems. Soft Robotic Systems require input from advances in the field of Soft Sensors. Soft sensors can help a soft robot to perceive and to act upon its immediate environment. The concept of integrating sensing capabilities into soft robotic systems is becoming increasingly important. One challenge is that most of the existing soft sensors have a requirement to be hardwired to power supplies or external data processing equipment. This requirement hinders the ability of a system designer to integrate soft sensors into soft robotic systems. In this article, we design, fabricate, and characterize a new soft sensor, which benefits from a combination of radio-frequency identification (RFID) tag design and microfluidic sensor fabrication technologies. We designed this sensor using the working principle of an RFID transporter antenna, but one whose resonant frequency changes in response to an applied strain. This new microfluidic sensor is intrinsically stretchable and can be reversibly strained. This sensor is a passive and wireless device, and as such, it does not require a power supply and is capable of transporting data without a wired connection. This strain sensor is best understood as an RFID tag antenna; it shows a resonant frequency change from approximately 860 to 800 MHz upon an applied strain change from 0% to 50%. Within the operating frequency, the sensor shows a standoff reading range of >7.5 m (at the resonant frequency). We characterize, experimentally, the electrical performance and the reliability of the fabrication process. We demonstrate a pneumatic soft robot that has four microfluidic sensors embedded in four of its legs, and we describe the implementation circuit to show that we can obtain movement information from the soft robot using our wireless soft sensors.
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http://dx.doi.org/10.1089/soro.2018.0026 | DOI Listing |
ACS Appl Mater Interfaces
September 2025
College of Chemistry and Chemical Engineering, Instrumental Analysis Center of Qingdao University, Qingdao Application Technology Innovation Center of Photoelectric Biosensing for Clinical Diagnosis and Treatment, Shandong Sino-Japanese Center for Collaborative Research of Carbon Nanomaterials, Qing
Silk fibroin (SF)-based flexible electronic/photonic materials have gained great attention in wearable devices and soft sensors. However, it remains challenging to understand the molecular interaction mechanisms and subsequently fabricate SF-based flexible materials that exhibit fluorescence, humidity sensitivity, and conductivity properties. In this study, by incorporating lanthanide europium ion (Eu), the design and fabrication of a flexible, fluorescent, and conductive SF membrane was proposed.
View Article and Find Full Text PDFFront Bioeng Biotechnol
August 2025
Institute of Process Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Spectroscopic soft sensors are developed by combining spectral data with chemometric modeling, and offer as Process Analytical Technology (PAT) tools powerful insights into biopharmaceutical processing. In this study, soft sensors based on Raman spectroscopy and linear or partial least squares (PLS) regression were developed and successfully transferred to a filtration-based recovery step of precipitated virus-like particles (VLPs). For near real-time monitoring of product accumulation and precipitant depletion, the dual-stage cross-flow filtration (CFF) set-up was equipped with an on-line loop in the second membrane stage.
View Article and Find Full Text PDFISA Trans
August 2025
Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, 100083, PR China; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China. Electronic addr
With the deep digital transformation of traditional manufacturing industry and the continuous automation level improvement of production lines, it is more important to predict the Key Performance Indicators (KPIs) of processes in a timely and accurate manner. The traditional laboratory destructive test method for obtaining KPIs consumes a large amount of time and incurs high costs, which not only fails to provide timely and effective guidance for production processes but also results in significant losses for manufacturing enterprises. To address these issues, an online prediction soft sensor model for KPIs based on a serial-parallel gated recurrent unit with self-attention mechanism (SPGRU-SA) soft sensor model is proposed.
View Article and Find Full Text PDFChem Rev
September 2025
Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH) 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, South Korea.
Self-regulating hydrogels represent the next generation in the development of soft materials with active, adaptive, autonomous, and intelligent behavior inspired by sophisticated biological systems. Nature provides exemplary demonstrations of such self-regulating behaviors, including muscle tissue's precise biochemical and mechanical feedback mechanisms, and coordinated cellular chemotaxis driven by dynamic biochemical signaling. Building upon these natural examples, self-regulating hydrogels are capable of spontaneously modulating their structural and functional states through integrated negative feedback loops.
View Article and Find Full Text PDFCarbohydr Polym
November 2025
Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, Joint International Research Lab of Lignocellulosic Functional Materials, College of Materials Science and Engineering, Nanjing Forestry University, N
Hydrogel actuators show tremendous promise for applications in soft robots and artificial muscles. Nevertheless, developing a stretchable hydrogel actuator combining remote actuation and real-time signal feedback remains a challenge. Herein, a light-responsive hydrogel actuator with self-sensing function is fabricated by employing a localized immersion strategy to incorporate polyacrylamide (PAM) hydrogel network into semi-interpenetrating carbon nanotube/2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO)-oxidized cellulose nanofiber/poly(N-isopropylacrylamide) (CNT/TOCN/PNIPAM) hydrogel.
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