A biomimetic elastomeric robot skin using electrical impedance and acoustic tomography for tactile sensing

K Park, H Yuk, M Yang, J Cho, H Lee, J Kim - Science Robotics, 2022 - science.org
Human skin perceives physical stimuli applied to the body and mitigates the risk of physical
interaction through its soft and resilient mechanical properties. Social robots would benefit …

Real-time underwater image enhancement: a systematic review

MK Moghimi, F Mohanna - Journal of Real-Time Image Processing, 2021 - Springer
In recent years, deep sea and ocean explorations have attracted more attention in the
marine industry. Most of the marine vehicles, including robots, submarines, and ships, would …

Image reconstruction in electrical impedance tomography based on structure-aware sparse Bayesian learning

S Liu, J Jia, YD Zhang, Y Yang - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
Electrical impedance tomography (EIT) is developed to investigate the internal conductivity
changes of an object through a series of boundary electrodes, and has become increasingly …

Time sequence learning for electrical impedance tomography using Bayesian spatiotemporal priors

S Liu, R Cao, Y Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As an emerging technology for continuous monitoring of a bounded domain, electrical
impedance tomography (EIT) gains increasing popularity in various applications. Despite …

RCRC: A deep neural network for dynamic image reconstruction of electrical impedance tomography

S Ren, R Guan, G Liang, F Dong - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A deep neural network is proposed for solving the dynamic image reconstruction problems
in electrical impedance tomography (EIT), which can realize the filtering, smoothing, and …

A detection and classification approach for underwater dam cracks

P Shi, X Fan, J Ni, G Wang - Structural health monitoring, 2016 - journals.sagepub.com
Underwater dam crack detection and classification based on visible images is a challenging
task. The underwater environment is very complex with uneven illumination and serious …

An ERT-based robotic skin with sparsely distributed electrodes: Structure, fabrication, and DNN-based signal processing

K Park, H Park, H Lee, S Park… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Electrical resistance tomography (ERT) has previously been utilized to develop a large-
scale tactile sensor because this approach enables the estimation of the conductivity …

Adaptive optimal measurement algorithm for ERT-based large-area tactile sensors

K Park, H Lee, KJ Kuchenbecker… - IEEE/ASME Transactions …, 2021 - ieeexplore.ieee.org
Electrical resistance tomography (ERT) is an inferential imaging technique that has shown
promising results for enabling large-area tactile sensors constructed from a piezoresistive …

Time reverse modeling of damage detection in underwater concrete beams using piezoelectric intelligent modules

J Liang, B Chen, C Shao, J Li, B Wu - Sensors, 2020 - mdpi.com
Underwater cracks in concrete structures are often difficult to detect due to their complexity of
the service environment. With numerical and experimental analysis of concrete beams …

Neural-gas network-based optimal design method for ERT-based whole-body robotic skin

K Park, J Kim - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
Electrical resistance tomography (ERT) is an inferential imaging technique that has been
utilized to develop large-scale robotic skin due to its scalable and practical properties. The …