With the continuous development of UAV technology and swarm intelligence technology, the
UAV formation cooperative mission has attracted wide attention because of its remarkable …

This paper presents a comprehensive survey of UAV-centric situational awareness (SA),
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …

Abstract Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been
successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally …

Under harsh geographical conditions where manned flight is not possible, the ability of the
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …

A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …

Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV)
systems are wildly installed in electrical systems. However, the main challenge that related …

Path planning is a challenging, computationally complex optimization task in high-
dimensional scenarios. The metaheuristic algorithm provides an excellent solution to this …

Unmanned Aerial Vehicles (UAVs) seem to be the most efficient way of achieving the
intended aerial tasks, according to recent improvements. Various researchers from across …

In order to solve the problem of path planning of a single robot and multi-Robots with multi-
objective, an improved ant colony algorithm is proposed. In the improved ant colony …

This paper presents a development of a novel path planning algorithm, called Generalized
Laser simulator (GLS), for solving the mobile robot path planning problem in a two …