The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

Artificial Neural Networks (ANNs) are modern computing methods that have been used
extensively in solving many complicated problems in the physical world. The attractiveness …

Complex pendulum-sloshing dynamics induced with specific payloads such as the
suspension liquid container increase incredibly the difficulty of the anti-swing control for …

The dynamic characteristics of 3-D overhead cranes with double-pendulum effect are
complex, which makes the controller design particularly challenging. Besides, in actual …

By considering the under-actuated characteristics of the quadcopter suspension
transportation system and the external disturbance, the effective tracking control of the …

To improve the transient control performance and to guarantee the satisfactory robustness
simultaneously, in this paper, a disturbance employment-based sliding mode control …

This paper proposes a new adaptive controller for three-wheeled mobile robots (3WMRs)
called the ABHSMC controller. This ABHSMC controller is developed through a cooperative …

Cranes hold a prominent position as one of the most extensively employed systems across
global industries. Given their critical role in various sectors, a comprehensive examination …

We consider an online policy iteration-based reinforcement learning for a class of a
nonlinear three-dimensional overhead crane with bounded uncertainties. Under the …

The development of the spherical robot to meet the requirements of high-speed and high-
precision tasks is of great importance. In this study, a fractional-order adaptive integral …