As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

In this paper, a novel control scheme is developed for a teleoperation system, combining the
radial basis function (RBF) neural networks (NNs) and wave variable technique to …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

It is important for humanoid-like mobile robots to learn the complex motion sequences in
human-robot environment such that the robots can adapt such motions. This paper …

Grasping and assembly are essential tasks in high-precision robotic manipulation for
industrial manufacturing as well as for home service applications. Many efforts have been …

Recent advancement in vision‐based robotics and deep‐learning techniques has enabled
the use of intelligent systems in a wider range of applications requiring object manipulation …

As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

The use of social robots in service scenarios (eg in hotels) is expected to increase.
Research has indicated that realistic threat and identity threat contribute to prejudice …

This paper presents an extreme learning machine (ELM)-based control scheme for
uncertain robot manipulators to perform haptic identification. ELM is used to compensate for …