The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

The task assignment issue and the path planning problem of Multiple Unmanned Aerial
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …

This paper presents a Cumulative Unmanned Aerial Vehicle Routing Problem (CUAVRP)
approach to optimize Humanitarian Coverage Path Planning (HCPP). Coverage path …

Many practical, real-world applications have dynamic features. This paper introduces a
novel dynamic optimization problem applied to Unmanned Aerial Vehicle (UAV) search and …

Grid-based methods have been proposed to solve the Coverage Path Planning problem
using Unmanned Aerial Vehicles in irregular-shaped areas since simple geometric flight …

Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing
CCPP is particularly significant in precision agriculture, where it enhances resource …

The application of 3D UAV path planning algorithms in smart cities and smart buildings can
improve logistics efficiency, enhance emergency response capabilities as well as provide …

This paper proposes a set of strategies for the patrolling problem using multiple UAVs and
as a result, improving our original NC-Drone algorithm. We present four strategies …

This paper proposes a method to tackle the Coverage Path Planning (CPP) problem for a
fleet of AI-driven UAVs while accounting for congestion, collision avoidance, and efficiency …