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 …

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 …

In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …

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 …

In this paper, we present adaptive neural network tracking control of a robotic manipulator
with input deadzone and output constraint. A barrier Lyapunov function is employed to deal …

In this paper, the n-dimensional discretized model of the two-link flexible manipulator is
developed by the assumed mode method (AMM). Subsequently, based on the discretized …

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 …

In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback
systems with uncertain parameter. The full states of the systems are constrained in the …

The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …

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 …