Trajectory tracking control is indispensable for a wheeled mobile robot to achieve successful
navigation. The classical tracking control systems that are used in wheeled mobile robots do …

This paper discusses the benefits that can be enjoyed from the possible application of
quantum computing to the aerospace sector. It discusses these benefits for various tasks …

Autonomous vehicles need sensors to detect the surroundings of the vehicle, especially if
there are obstructions that could harm the vehicle or the object itself. The goal is to avoid …

A trajectory tracking control algorithm based on deep reinforcement learning is proposed in
this paper. It could solve the trajectory tracking problem of wheeled mobile robot with …

Many control methods for trajectory tracking of mobile robots are based on dynamic control
strategies, such as computed torque control using coupled nonlinear nominal models in the …

An artificial neural network (ANN) computing system can be significantly influenced by its
implementation type. The software implemented ANN can produce high accuracy output …

░ ABSTRACT-Sensors are necessary for an autonomous electric vehicle (AEV) system to
identify its environment and take appropriate action, such avoiding obstacles and crashes …

In recent years, the development of multi-agent systems (MAS) has gained significant
traction, particularly in domains such as robotics, autonomous vehicles, and gaming. A …

This article is addressed to show the results of hybrid dynamical modeling in the form of
PWA (piecewise-affine) and equivalent MLD (mixed-logical dynamical) model for …