A survey on multi-robot coverage path planning for model reconstruction and mapping

R Almadhoun, T Taha, L Seneviratne, Y Zweiri - SN Applied Sciences, 2019 - Springer
There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …

Wildfire remote sensing with UAVs: A review from the autonomy point of view

R Bailon-Ruiz, S Lacroix - 2020 international conference on …, 2020 - ieeexplore.ieee.org
This article analyses the state of the art on wildfire remote sensing using UAVs, an
application context that has now gained significant interest. It reviews a selection of relevant …

Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees

E Seraj, A Silva, M Gombolay - Autonomous Agents and Multi-Agent …, 2022 - Springer
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been
commissioned by researchers to enable accurate, online wildfire coverage and tracking …

Scalable coverage path planning of multi-robot teams for monitoring non-convex areas

L Collins, P Ghassemi, ET Esfahani… - … on Robotics and …, 2021 - ieeexplore.ieee.org
This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …

[HTML][HTML] Characterizing vegetation complexity with unmanned aerial systems (UAS)–a framework and synthesis

J Müllerová, X Gago, M Bučas, J Company, J Estrany… - Ecological …, 2021 - Elsevier
Ecosystem complexity is among the important drivers of biodiversity and ecosystem
functioning, and unmanned aerial systems (UASs) are becoming an important tool for …

A multi-robot coverage path planning algorithm for the environment with multiple land cover types

X Huang, M Sun, H Zhou, S Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Many scholars have proposed different single-robot coverage path planning (SCPP) and
multi-robot coverage path planning (MCPP) algorithms to solve the coverage path planning …

A generic spatiotemporal scheduling for autonomous UAVs: A reinforcement learning-based approach

O Bouhamed, H Ghazzai, H Besbes… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Considerable attention has been given to leverage a variety of smart city applications using
unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower …

A bioinspired neural network-based approach for cooperative coverage planning of UAVs

S Godio, S Primatesta, G Guglieri, F Dovis - information, 2021 - mdpi.com
This paper describes a bioinspired neural-network-based approach to solve a coverage
planning problem for a fleet of unmanned aerial vehicles exploring critical areas. The main …

[HTML][HTML] SORA methodology for multi-UAS airframe inspections in an airport

C Martinez, PJ Sanchez-Cuevas, S Gerasimou, A Bera… - Drones, 2021 - mdpi.com
Deploying Unmanned Aircraft Systems (UAS) in safety-and business-critical operations
requires demonstrating compliance with applicable regulations and a comprehensive …

Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle using Hybrid Generic Algorithm Based Q-Learning Optimization

RA Saeed, ES Ali, M Abdelhaq, R Alsaqour… - IEEE …, 2023 - ieeexplore.ieee.org
Efficient path planning optimization strategies are required to maximize flying time while
consuming the least energy. This research offers a novel approach for energy-efficient path …