Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …

Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …

The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …

This paper presents a novel disturbance observer-based adaptive neural network control for
a hydraulic knee exoskeleton with valve deadband and output constraint. Adaptive neural …

In this paper, a novel adaptive robust control (ARC) scheme is proposed for electro-
hydraulic servo systems (EHSSs) with uncertainties and disturbances. All dynamic functions …

This study discusses a finite-time compensation tracking control method for a rehabilitative
training walker. The dynamic model with input dead zone was constructed to describe the …

This paper presents an end-to-end online learning navigation method based on deep
reinforcement learning (DRL) for mobile robots, whose objective is that mobile robots can …

In this article, aiming at handling the trajectory tracking issue of industrial manipulator
system (IMS) with modeling uncertainty, varying loads (VL) and unknown dead-zone …

In this paper, a graphics simulator that allows for characterizing the kinematic and dynamic
behavior of redundant planar manipulator robots is presented. This graphics simulator is …

In general, structures with rotational joints and linearized dynamic equations are used to
facilitate the control of manipulator robots. However, in some cases, the workspace is …