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Overview of Global Path Planning Algorithms for Mobile Robots [PDF]
Global path planning is the key technology of mobile robot outdoor work,and global path planning algorithm is mainly used in geographical scenarios to predict the outdoor environment.In the face of the complex outdoor environment,the robot optimizes the ...
WANG Zi-qiang, HU Xiao-guang, LI Xiao-xiao, DU Zhuo-qun
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Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments
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
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Background Numerous studies have reported the economic burden of childhood diarrhea in low- and middle-income countries (LMICs). Yet, empirical data on the cost of diarrheal illness is sparse, particularly in LMICs.
Ranju Baral +5 more
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Hexagon path planning algorithm
The paper presents a novel 2D geometrical path plan algorithm that reduces calculation load and time by filtering obstacles before path planning starts by the newly introduced hexagon filter and also while path search is in progress. Unlike other methods
Hany Mohamed Elsayed Ibrahim Mohamed Arnaoot
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Fast Path Planning of Autonomous Vehicles in 3D Environments
Three dimensional path planner is crucial for the safe navigation of autonomous vehicles (AV), such as unmanned aerial vehicles or unmanned underwater vehicles, which operate in three dimensions.
Jonghoek Kim
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A Review of Path Planning for Unmanned Surface Vehicles
With the continued development of artificial intelligence technology, unmanned surface vehicles (USVs) have attracted the attention of countless domestic and international specialists and academics.
Bowen Xing +5 more
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Multi UAV Coverage Path Planning in Urban Environments
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
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Quality-Oriented Hybrid Path Planning Based on A* and Q-Learning for Unmanned Aerial Vehicle
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in people’s daily lives due to their low cost of operation, low requirements for ground support, high maneuverability, high environmental adaptability, and high safety. Yet
Dongcheng Li +4 more
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Deceptive path-planning involves finding a path such that the probability of an observer identifying the path's final destination - before it has been reached - is minimised. This paper formalises deception as it applies to path-planning and introduces the notion of a last deceptive point (LDP) which, when measured in terms of 'path completion', can be
Peta Masters, Sebastian Sardina
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