Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …

In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …

Touch-free guided hand gesture recognition for human-robot interactions plays an
increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth …

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 …

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 …

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 …

Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …

Abstract Recently, Convolutional Neural Networks (CNNs) have been used for the
classification of hand activities from surface Electromyography (sEMG) signals. However …

Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …

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 …