Results 251 to 260 of about 251,973 (294)

Risk-Aware Complete Coverage Path Planning Using Reinforcement Learning

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Complete coverage path planning (CCPP) is a trending research area in floor cleaning robotics. CCPP is often approached as an optimization problem, typically solved by considering factors, such as power consumption and time as key objectives.
I. Wijegunawardana, S. Samarakoon, M. V. J. Muthugala, M. R. Elara   +3 more
semanticscholar   +1 more source

Coverage Path Planning for Surveying Disjoint Areas

2018 International Conference on Unmanned Aircraft Systems (ICUAS), 2018
Terrain surveying using unmanned aerial vehicles (UAV) is being applied to many areas such as precision agriculture or battlefield surveillance. A core problem of the surveying task is the coverage path planning problem (CPP); it is defined as the task of determining a path for an unmanned aerial vehicle so that it observes all points of a target area.
Juan Irving Vasquez-Gomez, Juan-Carlos Herrera-Lozada, Mauricio Olguin-Carbajal   +2 more
openaire   +1 more source

An Efficient UAV Coverage Path Planning Method for 3-D Structures

IEEE Internet of Things Journal
The use of uncrewed aerial vehicles (UAVs) to perceive surface images and other information of complex 3-D structures is a key component in infrastructure inspection tasks, such as for wind turbines and bridges.
Jiaxin Du, Baoqi Huang, Bing Jia
semanticscholar   +1 more source

Survey on UAV Coverage Path Planning Problem

2021
The advanced and highly mobile design of UAVs has led to a wide range of applications in fields such as battlefield monitoring, intelligent agriculture, photogrammetry, and disaster management, all of which are based on the coverage path planning problem (CPP).
Jiankang Xu, Xuzhou Shi, Zesheng Zhu, Hang Gao   +3 more
openaire   +1 more source

APF-CPP: An Artificial Potential Field Based Multi-Robot Online Coverage Path Planning Approach

IEEE Robotics and Automation Letters
Multi-robot coverage planning has gained significant attention in recent years. In this letter, we introduce a novel approach called APF-CPP (Artificial Potential Field Based Multi-Robot Online Coverage Path Planning) to enhance the collaboration of ...
Zikai Wang, Xiaoqi Zhao, Jiekai Zhang, Nachuan Yang, Pengyu Wang, Jiawei Tang, Jiuzhou Zhang, Ling Shi   +7 more
semanticscholar   +1 more source

Coverage Path Re-planning for Processing Faults

2015
Currently, an automated surface treatment or finishing (e.g., abrasive blasting, cleaning or painting) is performed in two consecutive steps: first processing by tool, second quality evaluation by sensor. Often, a finished surface has defects like areas not properly processed. This is caused by path inaccuracy or errors in tool deployment. The defected
Mykhaylo Nykolaychuk, Frank Ortmeier
openaire   +1 more source

Coverage Path Planning for 2D Convex Regions

Journal of Intelligent & Robotic Systems, 2019
The number of two-dimensional surveying missions with unmanned aerial vehicles has dramatically increased in the last years. To fully automatize the surveying missions it is essential to solve the coverage path planning problem defined as the task of computing a path for a robot so that all the points of a region of interest will be observed.
Juan Irving Vasquez-Gomez, Magdalena Marciano-Melchor, Luis Valentin, Juan Carlos Herrera-Lozada   +3 more
openaire   +1 more source

Optimal coverage path planning for USV-assisted coastal bathymetric survey: Models, solutions, and lake trials

Ocean Engineering
13 By virtue of portable and cost-effective attributes, unmanned surface vehicles (USVs) are becoming a crucial 14 role in coastal bathymetric surveys.
Liang Zhao, Yong Bai, J. Paik
semanticscholar   +1 more source

Area Complete Coverage Path Planning for Offshore Seabed Organisms Fishing Autonomous Underwater Vehicle Based on Improved Whale Optimization Algorithm

IEEE Sensors Journal
Autonomous underwater vehicles (AUVs) can replace human beings in seabed organisms fishing in complex and dangerous ocean environments, with high fishing efficiency and economic benefits.
Han Bao, Yanyan Wang, Haitao Zhu, Dian Wang   +3 more
semanticscholar   +1 more source

Optimal Coverage Path Planning on 3D Terrain

2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010, 2010
Automated path planning is important for the optimization of field operations. Field operations should be done in a manner that minimizes time, travels over the field surface and are coordinated with specific field operations and topographic land features. Intelligent algorithms are desired for both 2D and 3D terrain field coverage path planning.
null Jian Jin, null Lie Tang
openaire   +1 more source