Region coverage-aware path planning for unmanned aerial vehicles: A systematic review

K Kumar, N Kumar - Physical Communication, 2023 - Elsevier
The use of unmanned aerial vehicles (UAVs) to carry out remote aerial surveys has become
prominent in recent years. The UAV-based survey faces several operational issues, such as …

Near-optimal area-coverage path planning of energy-constrained aerial robots with application in autonomous environmental monitoring

KR Jensen-Nau, T Hermans… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article describes a Voronoi-based path generation (VPG) algorithm for an energy-
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …

A survey of energy-efficient motion planning for wheeled mobile robots

H Zhang, Y Zhang, T Yang - Industrial Robot: the international journal …, 2020 - emerald.com
Purpose As wheeled mobile robots find increasing use in outdoor applications, it becomes
more important to reduce energy consumption to perform more missions efficiently with limit …

Multi-robot information gathering for precision agriculture: Current state, scope, and challenges

A Dutta, S Roy, OP Kreidl, L Bölöni - Ieee Access, 2021 - ieeexplore.ieee.org
Precision agriculture is the collection of hardware and software technologies that allow a
farmer to make informed, differentiated decisions regarding agricultural operations such as …

ECO-CPP: Energy constrained online coverage path planning

S Dogru, L Marques - Robotics and Autonomous Systems, 2022 - Elsevier
Some robotic platforms are expected to perform coverage path planning (CPP) on a daily
basis. However, at times they may be expected to perform CPP in large unknown spaces …

Coverage path planning of unmanned surface vehicle based on improved biological inspired neural network

F Tang - Ocean Engineering, 2023 - Elsevier
In order to meet the requirements of coverage path planning task for unmanned surface
vehicle, a coverage apth planning algorithm of unmanned surface vehicle based on …

Reinforcement learning-based coverage path planning with implicit cellular decomposition

J Heydari, O Saha, V Ganapathy - arXiv preprint arXiv:2110.09018, 2021 - arxiv.org
Coverage path planning in a generic known environment is shown to be NP-hard. When the
environment is unknown, it becomes more challenging as the robot is required to rely on its …

Dispersion of mobile robots on grids

AD Kshemkalyani, AR Molla, G Sharma - International Workshop on …, 2020 - Springer
The dispersion problem on graphs asks k ≤ n robots initially placed arbitrarily on the nodes
of an n-node anonymous graph to reposition autonomously to reach a configuration in which …

Online complete coverage path planning of a reconfigurable robot using glasius bio-inspired neural network and genetic algorithm

SMBP Samarakoon, MAVJ Muthugala… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Area coverage is crucial for robotics applications such as cleaning, painting, exploration,
and inspections. Hinged reconfigurable robots have been introduced for these application …

Energy-Efficient Multi-UAV Multi-Region Coverage Path Planning Approach

G Ahmed, T Sheltami, A Mahmoud - Arabian Journal for Science and …, 2024 - Springer
Due to the high deployment flexibility and strong maneuverability, unmanned aerial vehicles
(UAVs) have gained a significant attention in civilian and military applications. One of the …