This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …

In recent years, numerous attempts have been made to integrate sliding mode control (SMC)
and neural networks (NN) in order to leverage the advantages of both methods while …

To tackle the trajectory tracking problem and achieve high control accuracy in many actual
nonlinear systems with unknown dynamics, a novel prescribed performance based model …

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

Customer preference-involved product concept evaluation is a vital stage for developing
new products. One of the key factors in this stage is to mine the potential relationships …

Industrial robots have a great impact on increasing the productivity and reducing the time of
the manufacturing process. To serve this purpose, in the past decade, many researchers …

Commercially available six-axis industrial robots, though highly repeatable, have relatively
low accuracy. While robot calibration can improve pose accuracy, the only way for a user to …

In robotic cooperation manufacturing occasions, like grinding, assembling, welding, etc., the
position-force synchronization tracking control for robotic cooperative manipulators is critical …

We present a material–robot system consisting of mobile robots that can assemble discrete
cellular structures. We detail the manufacturing of cuboctahedral unit cells, termed voxels …

This study deals with the dynamic interactions between seaports and decision-making
strategy for seaport operations by utilizing four-dimensional fractional Lotka-Volterra …