An Ultra-Stretchable and Highly Sensitive Photoelectric Effect-Based Strain Sensor: Implementation and Applications

Li, Zhengwei; Cheng, Long; Song, Qi

doi:10.1109/jsen.2020.3034172

Cited by 23 publications

(9 citation statements)

References 39 publications

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“…Strain sensor based on the photoelectric effect [185] Gauge factor: 1050 Strain: 800% Signal-to-noise ratio: 60 dB Optoelectronic printed circuit board (PCB) [186] 0.018 V N −1 0-15 N Signal-to-noise: 5-6…”

Section: Magneticmentioning

confidence: 99%

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3D Printing of Robotic Soft Grippers: Toward Smart Actuation and Sensing

Goh

Lyu

Ariffin

et al. 2022

Adv Materials Technologies

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Unlike traditional hard grippers, soft robotic grippers are commonly made of soft materials so that the soft grippers can produce motion via elastic deformations of their compliant components. The advantages of compliance allow soft grippers to effectively eliminate shocks caused by hard contact, which usually occurs when a hard robotic gripper manipulates a hard object. Until now, the soft robotic grippers are able to operate numerous objects with irregular geometries and different textures. Besides, with the help of embedded sensors, soft robotic grippers have facilitated the growing automation of many tasks, which are thought to be far too delicate for robotic manipulation. This paper reviews the advancement in soft robotic grippers. The paper first introduces the actuation technologies followed by the design and fabrication techniques. The use of 3D printing techniques in the fabrication of the soft gripper is also discussed. The Review then highlights the challenges and future outlook in the fabrication of soft grippers and sensors.

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Section: Magneticmentioning

confidence: 99%

“…With most mechanisms due to the change in deformation (strain), it can be seen that the resistive-based sensor are more common. [185,188] Alternatively, there are materials such as artificially innervated foam (AiFoam) [189] which can operate in both piezoresistive and piezocapacitive by embedding 3D electrodes within its foam compositive.…”

Section: Magneticmentioning

confidence: 99%

3D Printing of Robotic Soft Grippers: Toward Smart Actuation and Sensing

Goh

Lyu

Ariffin

et al. 2022

Adv Materials Technologies

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“…Flexible strain sensors have widely been employed in the wearable electronic products, human‐computer interaction, and health care, among others 1–5 . However, traditional strain sensors suffer from limited detectable strain range due to the rigid matrix.…”

Section: Introductionmentioning

confidence: 99%

“…and health care, among others. [1][2][3][4][5] However, traditional strain sensors suffer from limited detectable strain range due to the rigid matrix. Thus, conductive nanofillers are combined with a flexible matrix to enhance the flexibility and electrical properties to obtain high-performance strain sensors.…”

mentioning

confidence: 99%

Flexible strain sensors with high sensitivity and large working range prepared from biaxially stretched carbon nanotubes/polyolefin elastomer nanocomposites

Xiang

Chen

et al. 2022

J of Applied Polymer Sci

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Flexible strain sensors are a new generation of flexible and stretchable electronic devices that attracted increasing attention due to their practical applications in many fields. However, maintaining a wide detectable strain range while improving the sensitivity of flexible strain sensors remains challenging. In this study, flexible strain sensors with a large working range based on biaxially stretched carbon nanotubes (CNTs)/polyolefin elastomer (POE) nanocomposites were fabricated. Biaxial stretching was demonstrated to enhance the uniform dispersion and orientation of CNTs, thereby improving the performance of sensors. The optimal stretching ratios (SRs) of nanocomposites were investigated and the data revealed an increment in the sensitivity of sensors with SRs, while the working range first increased after biaxial stretching and decreased at higher SRs. Compared to the 9 wt% CNT/POE‐1.0 sensor with a gauge factor (GF) value of 2.37 and a detectable range of 0.5%–230%, the CNT/POE‐2.0 sensor exhibited an enhanced sensitivity (GF = 3935.12) coupled with a wider detectable range (0.5%–710%) and better stability. Besides, CNT/POE‐2.0 sensor also achieved the monitoring of head movements, mouth opening, facial expression, and physiological signals, showing a potential for use in wearable electronic products.

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“…Due to the wide existence of hysteresis phenomenon in real-world system [22,23], intelligent modeling of nonlinear hysteresis systems has become a hot topic [24][25][26]. The hysteresis feature means that the current output is related to the previous states, and long short term memory (LSTM) neural networks can predict the outputs according to the sequences of states.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles

Xia

Cheng

2021

Sci. China Technol. Sci.

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Pneumatic artificial muscles (PAMs) usually exhibit strong hysteresis nonlinearity and time-varying features that bring PAMs modeling and control difficulties. To characterize the hysteresis relation between PAMs' displacement and fluid pressure, a long short term memory (LSTM) neural network model and an adaptive Takagi-Sugeno (T-S) fuzzy model are proposed. Experiments show that both models perform well under the load free conditions, and the adaptive T-S Fuzzy model can furtherly adapt to the change of load with the online adaptation ability. With the concise expression and satisfactory performance of the adaptive T-S Fuzzy model, a model predictive controller is designed and tested. Experiments show that the model predictive controller has a good performance on tracking the given references.

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An Ultra-Stretchable and Highly Sensitive Photoelectric Effect-Based Strain Sensor: Implementation and Applications

Cited by 23 publications

References 39 publications

3D Printing of Robotic Soft Grippers: Toward Smart Actuation and Sensing

3D Printing of Robotic Soft Grippers: Toward Smart Actuation and Sensing

Flexible strain sensors with high sensitivity and large working range prepared from biaxially stretched carbon nanotubes/polyolefin elastomer nanocomposites

Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles

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