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Some of the next articles are maybe not open access.
Soft tactile sensor and curvature sensor for caterpillar-like soft robot's adaptive motion
Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence, 2019Soft robots are designed to interact safely with their environment and move through narrow place in a way a rigid robot cannot. In order for the soft robot to be completely soft, it should consist of as more as soft component. In this paper, a PneuNet soft robot imitating bionic caterpillar are fabricated.
Xin Yuan +4 more
openaire +1 more source
IEEE Transactions on Industrial Informatics, 2020
Deep learning is a recently developed feature representation technique for data with complicated structures, which has great potential for soft sensing of industrial processes. However, most deep networks mainly focus on hierarchical feature learning for
Xiaofeng Yuan +5 more
semanticscholar +1 more source
Deep learning is a recently developed feature representation technique for data with complicated structures, which has great potential for soft sensing of industrial processes. However, most deep networks mainly focus on hierarchical feature learning for
Xiaofeng Yuan +5 more
semanticscholar +1 more source
IEEE Sensors Journal, 2021
As an effective means of sensing difficult-to-measure process variables in real time, soft sensors are widely used but have a few significant limitations. Modeling errors between the mechanism model and real system can occur, which affect the accuracy of
Runyuan Guo, Han Liu
semanticscholar +1 more source
As an effective means of sensing difficult-to-measure process variables in real time, soft sensors are widely used but have a few significant limitations. Modeling errors between the mechanism model and real system can occur, which affect the accuracy of
Runyuan Guo, Han Liu
semanticscholar +1 more source
Soft sensor of flotation froth grade classification based on hybrid deep neural network
International Journal of Production Research, 2021In recent years, the technology of deep learning has made great achievements in the field of machine learning. In this study, with the help of the transfer learning method, a kind of soft sensor is designed for the classification of iron ore tailings ...
Dingsen Zhang, Xian-wen Gao
semanticscholar +1 more source
Scientists Develop Soft Tactile Sensor
New Electronics, 2021SENSOR WITH SKIN-COMPARABLE CHARACTERISTICS COULD HELP ROBOTS ACCOMPLISH MORE CHALLENGING TASKS.
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Noise-Tolerant Co-Trained Semisupervised Soft Sensor Model for Industrial Process
IEEE Sensors Journal, 2022Soft sensors are often used to obtain variables that are difficult to directly measure in an industrial process. In this article, a co-training-based semisupervised soft sensor model is presented to address noise removal and labeled sample acquisition in
Q. Lei, Huirui Wang
semanticscholar +1 more source
Soft Sensor Network for Environmental Monitoring
2016This paper shows the application of a soft sensor network for the detection of meteorological events. A set of hard (real) sensor are placed in a territory, where they measure heterogeneous quantities. Starting from their measurements, a soft sensor network provides useful information coming from the data.
Maniscalco U, Pilato G, Vella F
openaire +2 more sources
2021
The demand for interfacing electronics in everyday life is rapidly accelerating, with an ever-growing number of applications in wearable electronics and electronic skins for robotics, prosthetics, and other purposes. Soft sensors that efficiently detect environmental or biological/physiological stimuli have been extensively studied due to their ...
Roels, Ellen +6 more
openaire +1 more source
The demand for interfacing electronics in everyday life is rapidly accelerating, with an ever-growing number of applications in wearable electronics and electronic skins for robotics, prosthetics, and other purposes. Soft sensors that efficiently detect environmental or biological/physiological stimuli have been extensively studied due to their ...
Roels, Ellen +6 more
openaire +1 more source
2008 7th World Congress on Intelligent Control and Automation, 2008
An improved least squares support vector machine (LS-SVM) approach was proposed to overcome the drawback of ldquolosing sparsityrdquo in original LS-SVM. At the same time, real-coded genetic algorithm (RC-GA) was introduced to solve the difficult problem of parameters selection in LS-SVM.
null Zhenrui Peng +2 more
openaire +1 more source
An improved least squares support vector machine (LS-SVM) approach was proposed to overcome the drawback of ldquolosing sparsityrdquo in original LS-SVM. At the same time, real-coded genetic algorithm (RC-GA) was introduced to solve the difficult problem of parameters selection in LS-SVM.
null Zhenrui Peng +2 more
openaire +1 more source
Soft Sensors Map Skin Mechanics
Chemical & Engineering News Archive, 2015An international research team led by John A. Rogers of the University of Illinois, Urbana-Champaign, has built electronic, flexible patches that can measure the mechanical properties of skin and other biological tissue (Nat. Mater. 2015, DOI: 10.1038/nmat4289). The researchers mapped the skin elasticity of dozens of patients in the clinic, building up
openaire +1 more source