In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

An intelligent autonomous robot is required in various applications such as space,
transportation, industry, and defense. Mobile robots can also perform several tasks like …

The aim of this paper is to provide a global overview of mobile robot control and navigation
methodologies developed over the last decades. Mobile robots have been a substantial …

The autonomous guided vehicle is a great and important platform for control systems. Their
non-linear nature helps in analysing the control algorithms more efficiently and effectively …

In this work we describe the optimization of a Fuzzy Logic Controller (FLC) for an
autonomous mobile robot that needs to follow a desired path. The FLC is for the simulation …

In this work, the design, analysis, and implementation of an algorithm for automatic parallel
parking for a nonholonomic mobile robot is presented. The mobile robot is a four-wheeled …

Recently, the study and development of the mobile robot is considered as a very important
issue for many researchers. This is because the wide range of mobile robot applications in …

We present an iterative linear quadratic regulator (ILQR) method for trajectory tracking
control of a wheeled mobile robot system. The proposed scheme involves a kinematic model …

This paper presents an optimal fuzzy PD+ I controller designed to control the trajectory of a
mobile robot. To tune and obtain the best parameters of the controller, the PSO (Particle …

Iterative learning control (ILC) is a 2-degree-of-freedom technique that seeks to improve
system performance along the time and iteration domains. Traditionally, ILC has been …