Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …

With the development of artificial intelligence, robots are widely used in various fields,
grasping detection has been the focus of intelligent robot research. A dual manipulator …

Object grasping is the basic function for robots to complete various tasks. However, it is still a
hot and difficult problem to grasp object in multi-object stacking environment. A digital twin …

In this study, we investigate the synergy between the Internet of Medical Things (IoMT) and
blockchain technology in healthcare for sustainable societies. To address the research goal …

Ion‐conductive elastomers capable of damping can significantly mitigate the interference
caused by mechanical noise during data acquisition in wearable and biomedical devices …

Accurate and real-time gesture recognition is required for the autonomous operation of
prosthetic hand devices. This study employs a convolutional neural network-enhanced …

Autonomous driving has gradually become a research hotspot in recent years, but the
robustness of loopback detection in complex environments such as dynamic and weak …

With the wide application of stereovision in SLAM, object pose estimation has gradually
become one of the research hotspots. This article proposes an object pose estimation for …

A framework is proposed in this paper for learning variable impedance in percutaneous
puncture surgery, with the aim of simplifying the robotic puncture of soft tissues. The …