Results 11 to 20 of about 251,973 (294)

Scalable Coverage Path Planning for Cleaning Robots Using Rectangular Map Decomposition on Large Environments

open access: yesIEEE Access, 2018
The goal of coverage path planning is to create a path that covers the entire free space in a given environment. Coverage path planning is the most important component of cleaning robot technology, because it determines the cleaning robot's movement ...
Xu Miao, Jaesung Lee, Bo-Yeong Kang
doaj   +3 more sources

Large-Area Coverage Path Planning Method Based on Vehicle–UAV Collaboration

open access: yesApplied Sciences
With the widespread application of unmanned aerial vehicles (UAV) in surveying, disaster search and rescue, agricultural spraying, war reconnaissance, and other fields, coverage path planning is one of the most important problems to be explored.
Nan Zhang   +5 more
doaj   +2 more sources

An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments [PDF]

open access: yesScientific Reports
In post-disaster search and rescue scenarios, robotic path planning must operate in unpredictable, dynamic environments where conventional coverage path planning (CPP) algorithms often struggle to adapt.
Yao Xue, Chee Keong Tan, Wai Peng Wong
doaj   +2 more sources

UAV-Based Coverage Path Planning for Unmanned Agricultural Vehicles [PDF]

open access: yesSensors
Accurate path planning was the prerequisite for autonomous navigation of agricultural vehicles. An Unmanned Aerial Vehicle (UAV)-based coverage path planning was developed in this research for automating guidance of agricultural vehicles and reducing the
Guangjie Xue   +6 more
doaj   +2 more sources

Research on Complete Coverage Path Planning of Agricultural Robots Based on Markov Chain Improved Genetic Algorithm

open access: yesApplied Sciences
Due to the limitations of low coverage, high repetition rate, and slow convergence speed of the basic genetic algorithm (GA) in robot complete coverage path planning, the state transition matrix of the Markov chain is introduced to guide individual ...
Jiangyi Han   +3 more
doaj   +2 more sources

Modified A-Star Algorithm for Efficient Coverage Path Planning in Tetris Inspired Self-Reconfigurable Robot with Integrated Laser Sensor [PDF]

open access: yesSensors, 2018
Advancing an efficient coverage path planning in robots set up for application such as cleaning, painting and mining are becoming more crucial. Such drive in the coverage path planning field proposes numerous techniques over the past few decades. However,
Anh Vu Le   +3 more
doaj   +2 more sources

A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

open access: yesDrones
The study of unmanned aerial vehicle (UAV) coverage path planning is of great significance for ensuring maritime situational awareness and monitoring.
Yiyuan Li   +4 more
doaj   +2 more sources

CPPNet: A Coverage Path Planning Network [PDF]

open access: yesOCEANS 2021: San Diego – Porto, 2021
This paper presents a deep-learning based CPP algorithm, called Coverage Path Planning Network (CPPNet). CPPNet is built using a convolutional neural network (CNN) whose input is a graph-based representation of the occupancy grid map while its output is an edge probability heat graph, where the value of each edge is the probability of belonging to the ...
Shen, Zongyuan   +4 more
openaire   +2 more sources

Coverage path planning for spraying drones

open access: yesComputers & Industrial Engineering, 2022
Submitted to Computers and Industrial ...
Vazquez-Carmona, E. Viridiana   +3 more
openaire   +3 more sources

Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance

open access: yesDrones, 2021
Unmanned Aerial Vehicles (UAVs) have become necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, reconnaissance, border patrol, search and rescue, civilian, scientific and military missions, etc.
Jian Zhang, Hailong Huang
doaj   +1 more source

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