In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

Path planning is a propitious research domain with extensive application areas. It is the
procedure to construct a collision-free path from specified source to destination point …

The important thing about mobile robotics is that its use satisfies rapid movement without
collisions. Several methods have been designed for this purpose, but not all of them give the …

The purpose of this study is to develop a novel hybrid meta‐heuristic algorithm for optimal
path planning of the mobile robot. A novel hybrid algorithm based on particle swarm …

This article considers a robot path planning problem originated from a robot factory
inspection scenario. In the problem, the robot is in a dynamic uncertain environment, that is …

In this growing technological era, path planning has become extensively useful application
in the fields of robotics, surveillance and planning, gaming, animation, and bio-informatics …

In robotic systems, path planning is the one of important processes for robot motion. The
best path planning is required for shortest path searching that can make fast movement of …

In the realm of smart vehicle navigation, both in known and unknown environments, the
crucial aspects encompass the vehicle's localization using an array of technologies such as …

Abstract The paradigm Internet of Things (IoT) connects several million devices that can
gather information which is stored and processed in the Cloud. This data is analyzed for …

According to the characteristics of particle swarm optimization (PSO), this paper studies on
utilizing PSO algorithm to solve the path planning problem of mobile robots in polar …