4 citations · 6 across the 5 of their papers we have counts for
5 papers
Closed-loop underwater soft robotic foil shape control using flexible e-skin
Leo Micklem, Huazhi Dong, Francesco Giorgio-Serchi +3
The use of soft robotics for real-world underwater applications is limited, even more than in terrestrial applications, by the ability to accurately measure and control the deforma…
Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning
Delin Hu, Zhou Chen, Paul Baisamy +3
Tactile sensing in soft robots remains particularly challenging because of the coupling between contact and deformation information which the sensor is subject to during actuation…
Regularized Shallow Image Prior for Electrical Impedance Tomography
Zhe Liu, Zhou Chen, Qi Wang +2
Untrained Neural Network Prior (UNNP) based algorithms have gained increasing popularity in tomographic imaging, as they offer superior performance compared to hand-crafted priors…
A Learning-Based 3D EIT Image Reconstruction Method
Zhaoguang Yi, Zhou Chen, Yunjie Yang
Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approa…
Digital Twin of Electrical Tomography for Quantitative Multiphase Flow Imaging
Shengnan Wang, Delin Hu, Maomao Zhang +6
We report a digital twin (DT) framework of electrical tomography (ET) to address the challenge of real-time quantitative multiphase flow imaging based on non-invasive and non-radio…