Autonomous navigation of a robot is a promising research domain due to its extensive
applications. The navigation consists of four essential requirements known as perception …

Robotic arms, which are favored for usage in both large-and small-scale industrial regions,
run into issues with numerous limits between the starting and ending locations in the …

ABSTRACT Particle Swarm Optimization (PSO) is a biologically inspired computational
search and optimization method developed in 1995 by Eberhart and Kennedy based on the …

Cloud computing is a style of computing in which dynamically scalable and other virtualized
resources are provided as a service over the Internet. The energy consumption and …

Particle Swarm Optimization (PSO), a population based technique for stochastic search in a
multidimensional space, has so far been employed successfully for solving a variety of …

With the rapid development and the growing deployment of autonomous ground vehicles
(AGVs) worldwide, there is an increasing need to design reliable, efficient, robust, and …

In this paper, we propose a multi-kernel classifier learning algorithm to optimize a given
nonlinear and nonsmoonth multivariate classifier performance measure. Moreover, to solve …

Platoon management control systems and methods rearrange three of more vehicles
cooperatively travelling seriatim as a platoon along an associated roadway into a platoon …

This paper presents a three-layered approach for the mission route planning problems
involving a team of autonomous vehicles where they have to collectively navigate to a …

When there are obstacles around the target point, the mobile robot cannot reach the target
using the traditional artificial potential field (APF). Besides, the traditional APF is prone to …