Robotic artificial muscles are a subset of artificial muscles that are capable of producing
biologically inspired motions useful for robot systems, ie, large power-to-weight ratios …

Robotic micromanipulation is a relatively young field. However, after three decades of
development and evolution, the fundamental physics; techniques for sensing, actuation, and …

This paper presents a new adaptive sliding-mode control (ASMC) scheme that uses the time-
delay estimation (TDE) technique, then applies the scheme to robot manipulators. The …

Piezoelectric actuators (PEAs) have been widely used in nanotechnology due to their
characteristics of fast response, large mass ratio, and high stiffness. However, hysteresis …

In this paper, we have developed a novel visual servo-based model predictive control
method to steer a wheeled mobile robot (WMR) moving in a polar coordinate toward a …

Surface electromyogram (sEMG) signals can be applied in medical, rehabilitation, robotic,
and industrial fields. As a typical application, a myoelectric prosthetic hand is controlled by …

A nonlinear model predictive control (NMPC) scheme is developed in this paper based on a
self-organizing recurrent radial basis function (SR-RBF) neural network, whose structure …

Shape memory materials are smart materials that stand out because of several remarkable
properties, including their shape memory effect. Shape memory alloys (SMAs) are largely …

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

Piezoelectric actuators (PEAs) are widely used in the nanopositioning applications due to
their high stiffness, fast response, and ultrahigh precision. However, PEAs inherently have …