[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits

C Tian, Z Xu, L Wang, Y Liu - Mathematical Biosciences and …, 2023 - aimspress.com
This systematic review aims to investigate recent developments in the area of arc fault
detection. The rising demand for electricity and concomitant expansion of energy systems …

Pneumatic soft robots: Challenges and benefits

H Su, X Hou, X Zhang, W Qi, S Cai, X **ong, J Guo - Actuators, 2022 - mdpi.com
In the field of robotics, soft robots have been showing great potential in the areas of medical
care, education, service, rescue, exploration, detection, and wearable devices due to their …

Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network

W Qi, SE Ovur, Z Li, A Marzullo… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …

Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot

J Li, J Wang, H Peng, Y Hu, H Su - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate path tracking and stability are the main challenges of lateral motion control in
mobile robots, especially under the situation with complex road conditions. The interaction …

Toward teaching by demonstration for robot-assisted minimally invasive surgery

H Su, A Mariani, SE Ovur, A Menciassi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Learning manipulation skills from open surgery provides more flexible access to the organ
targets in the abdomen cavity and this could make the surgical robot working in a highly …

A cybertwin based multimodal network for ecg patterns monitoring using deep learning

W Qi, H Su - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
In next-generation network architecture, the Cybertwin drove the sixth generation of cellular
networks sixth-generation (6G) to play an active role in many applications, such as …

Fuzzy approximation-based task-space control of robot manipulators with remote center of motion constraint

H Su, W Qi, J Chen, D Zhang - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
The presence of unknown physical interaction between the patients' body and surgical tool
in laparoscopic surgery requires a secure end-effector positioning while assuring a reliable …

Improved feature point pair purification algorithm based on SIFT during endoscope image stitching

Y Liu, J Tian, R Hu, B Yang, S Liu, L Yin… - Frontiers in …, 2022 - frontiersin.org
Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions.
However, the imaging range of endoscopes is small, which may affect the doctors' judgment …

A human activity-aware shared control solution for medical human–robot interaction

H Su, W Qi, Y Schmirander, SE Ovur, S Cai… - Assembly …, 2022 - emerald.com
Purpose The purpose of this paper is to develop a human activity-aware adaptive shared
control solution for human–robot interaction in surgical operation. Hands-on control and …

A temporal–spatial deep learning approach for driver distraction detection based on EEG signals

G Li, W Yan, S Li, X Qu, W Chu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Distracted driving has been recognized as a major challenge to traffic safety improvement.
This article presents a novel driving distraction detection method that is based on a new …