[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits
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 …
detection. The rising demand for electricity and concomitant expansion of energy systems …
Pneumatic soft robots: Challenges and benefits
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 …
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
Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …
Fuzzy-torque approximation-enhanced sliding mode control for lateral stability of mobile robot
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 …
mobile robots, especially under the situation with complex road conditions. The interaction …
Toward teaching by demonstration for robot-assisted minimally invasive surgery
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
This article presents a novel driving distraction detection method that is based on a new …