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 …

As a typical application of the human-computer interaction device, the lower limb
exoskeleton has attracted many researchers' attention in recent years in an attempt to …

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 …

Intelligent techniques foster the dissemination of new discoveries and novel technologies
that advance the ability of robots to assist and support humans. The human-centered …

This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …

The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …

The research of this paper works out the attitude and position control of the flap** wing
micro aerial vehicle (FWMAV). Neural network control with full state and output feedback are …

In this paper, we consider attitude control for autonomous underwater vehicles (AUVs) with
input nonlinearities and unknown disturbances taken into account. The dynamics model in …

This paper proposes an adaptive neural control method for a class of nonlinear time-varying
delayed systems with time-varying full-state constraints. To address the problems of the time …

This paper presents adaptive impedance control of an upper limb robotic exoskeleton using
biological signals. First, we develop a reference musculoskeletal model of the human upper …