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Multi UAV Coverage Path Planning in Urban Environments [PDF]

open access: yesSensors, 2021
Coverage path planning (CPP) is a field of study which objective is to find a path that covers every point of a certain area of interest. Recently, the use of Unmanned Aerial Vehicles (UAVs) has become more proficient in various applications such as ...
Javier Muñoz   +5 more
doaj   +8 more sources

Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments [PDF]

open access: yesSensors, 2023
Coverage path planning (CPP) of multiple Dubins robots has been extensively applied in aerial monitoring, marine exploration, and search and rescue. Existing multi-robot coverage path planning (MCPP) research use exact or heuristic algorithms to address ...
Lin Li   +6 more
doaj   +4 more sources

Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks [PDF]

open access: yesScientific Reports
Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions.
K. Karthik   +2 more
doaj   +3 more sources

Biologically Inspired Complete Coverage Path Planning Algorithm Based on Q-Learning [PDF]

open access: yesSensors, 2023
Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map. Aiming at the problems of local optimal path and high path coverage ratio in the complete coverage path planning of the traditional ...
Xiangquan Tan   +3 more
doaj   +2 more sources

Robotic Coverage Path Planning for Ultrasonic Inspection [PDF]

open access: yesApplied Sciences, 2021
Automatic robotic inspection of arbitrary free-form shapes is relevant for many quality control applications in different industries. We propose a method for planning the motion of an industrial robot to perform ultrasonic inspection of varying 3D shapes.
Kastor Felsner   +2 more
doaj   +2 more sources

Full coverage path planning algorithm for MRgFUS therapy. [PDF]

open access: yesInt J Med Robot, 2022
AbstractBackgroundHigh‐quality methods for Magnetic Resonance guided Focussed Ultrasound (MRgFUS) therapy planning are needed for safe and efficient clinical practices. Herein, an algorithm for full coverage path planning based on preoperative MR images is presented.MethodsThe software functionalities of an MRgFUS robotic system were enhanced by ...
Antoniou A   +3 more
europepmc   +4 more sources

Complete-Coverage Path-Planning Algorithm Based on Transition Probability and Learning Perturbation Operator [PDF]

open access: yesSensors
To achieve shorter path length and lower repetition rate for robotic complete coverage path planning, a complete-coverage path-planning algorithm based on transition probability and learning perturbation operator (CCPP-TPLP) is proposed.
Xia Wang   +3 more
doaj   +2 more sources

Improved genetic algorithm based on bi-level co-evolution for coverage path planning in irregular region [PDF]

open access: yesScientific Reports
Irregular region coverage path planning has been widely applied in robot search tasks and has attracted a lot of attention. This study proposes an improved genetic algorithm based on bi-level co-evolution for coverage path planning (IGA–CPP) in irregular
Guanzhong Chen   +6 more
doaj   +2 more sources

A UAV Coverage Path Planning Method Based on a Diameter–Height Model for Mountainous Terrain

open access: yesApplied Sciences
Most unmanned aerial vehicles (UAVs) nowadays engage in coverage missions using coverage paths with simple patterns that are limited in two-dimensional space, ignoring the elevation features of mountainous terrain intentionally, resulting in losing ...
Nan Zhang   +5 more
doaj   +2 more sources

The Wide-Area Coverage Path Planning Strategy for Deep-Sea Mining Vehicle Cluster Based on Deep Reinforcement Learning

open access: yesJournal of Marine Science and Engineering
The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement problems and small coverage in the
Bowen Xing, Xiao Wang, Zhenchong Liu
doaj   +2 more sources

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