Abstract Unmanned Surface Vehicles (USVs) are increasingly used for ocean missions,
which typically require long duration of operations under strict energy constraints …

This review paper discusses the development trends of agricultural autonomous all-terrain
vehicles (AATVs) from four cornerstones, such as (1) control strategy and algorithms,(2) …

Global path planning is a challenging issue in the filed of mobile robotics due to its
complexity and the nature of non-deterministic polynomial-time hard (NP-hard). Particle …

Global path planning is considered as a fundamental problem for mobile robots. In this
paper, we investigate the capabilities of genetic algorithms (GA) for solving the global path …

Path planning is a fundamental optimization problem that is crucial for the navigation of a
mobile robot. Among the vast array of optimization approaches, we focus in this paper on …

This study proposes the design of two efficient nature inspired intelligent optimal controllers,
flower pollination algorithm (FPA) and bat algorithm (BA) for obtaining optimal path using an …

A path planning algorithm is one of the most important parts of the system of an intelligent
robot. There are many studies to avoid obstacles in a navigation route for a known …

The subject addressed in this paper is the issue of using an UAV type Quadcopter in the
internal logistics within a manufacturing plant, particularly at the stage of assembly and/or …

Purpose Aiming at obtaining a high-quality global path for a mobile robot which works in
complex environments, a modified particle swarm optimization (PSO) algorithm, named …

This study examined how path planning of intelligent mobile robot could be enhanced by
utilizing simplified swarm optimization (SSO) in working environment with irregular …