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A Three-Dimensional Coverage Path Planning Method for Robots for Farmland with Complex Hilly Terrain
Published 2024-12-01Get full text
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A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments
Published 2024-12-01“…In response to the problem of maritime multi-region coverage surveillance in complex obstacle environments, this paper proposes a global path planning method capable of simultaneously addressing the multiple traveling salesman problem, coverage path planning problem, and obstacle avoidance problem. …”
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Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas
Published 2025-05-01“…Complex multi-area collaborative coverage path planning in dynamic environments poses a significant challenge for multi-fixed-wing UAVs (multi-UAV). …”
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Coverage path planning considering the cell number and starting position
Published 2024-08-01“…To address the inadequate adaptability of the traditional boustrophedon cellular decomposition in complex maps and to improve coverage efficiency, a complete coverage path planning method is proposed. …”
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A UAV path planning algorithm for bridge construction safety inspection in complex terrain
Published 2025-04-01“…Abstract In response to the challenge of rapid unmanned aerial vehicles (UAV) path planning for bridge construction in complex terrain, this paper presents an enhanced snake optimization (CSGLSO) UAV three-dimensional path planning algorithm. …”
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Complete Coverage Path Planning Strategy for Reconfigurable Robot With Variable Footprint
Published 2025-01-01“…To address this issue, we propose the Depth-First Search (DFS) for Complete Coverage Path Planning Strategy (CCPPS) for ECVWRs. …”
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Adaptive Multi-Objective Optimization-Based Coverage Path Planning Method for UUVs
Published 2025-06-01“…Coverage path planning for unmanned undersea vehicles(UUVs) in unknown aquatic environments is a critical task. …”
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A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments
Published 2025-01-01“…Coverage Path Planning (CPP) is a fundamental aspect of mobile robotics, enabling robots to navigate dynamic environments efficiently while ensuring thorough coverage of all areas of interest and avoiding obstacles. …”
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Optimal Coverage Path Planning for UAV-Assisted Multiple USVs: Map Modeling and Solutions
Published 2025-01-01“…By refining the axial, length, width, and coordinate information of obstacles, the algorithm enables YOLOv5 to generate accurate object bounding box prompts and then assists SAM in automatically and accurately extracting obstacles and coastlines in complex scenes. Based on this accurate map model, a multi-objective stepwise optimization coverage path planning algorithm is further proposed. …”
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Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture
Published 2025-12-01“…The agricultural coverage path planning problem focuses on optimizing coverage paths for agricultural operations. …”
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Coverage path planning for autonomous surveying of plant species using unmanned aerial vehicles (UAVs)
Published 2024-01-01“…Both the simulation results and the practical flight test results showed that the UAV can accurately execute the planned coverage paths. The flight tests proved that the system can survey disconnected vegetation areas, navigate complex environments containing obstacles and no-fly zones, and perform consecutive path generation to enable refuelling or the use of multiple UAVs. …”
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Optimal Coverage Path Planning for Unmanned Surface Vehicles Using Flexible Formation Tracking Control
Published 2025-06-01“…Unmanned surface vehicle (USVs) have attracted significant attention in cooperative surveys of marine environments, where efficient coverage path planning (CPP) is crucial. This paper introduces a novel CPP method integrating flexible formation control to enhance the exploration capabilities of USVs in complex marine environments. …”
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A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning
Published 2025-01-01“…Simulation results show that Re-DQN outperforms the other algorithms in terms of performance, convergence speed, and stability, making it a robust solution for comprehensive coverage path planning. Future work will focus on testing and optimizing Re-DQN in more complex environments and exploring its application in multi-robot systems to enhance collaboration and communication.…”
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Resilient Multi-Robot Coverage Path Redistribution Using Boustrophedon Decomposition for Environmental Monitoring
Published 2024-11-01“…This study introduces a resilient and adaptive multi-robot coverage path planning approach based on the Boustrophedon Cell Decomposition algorithm, designed to dynamically redistribute coverage tasks in the event of robot failures. …”
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Multi-Indicator Heuristic Evaluation-Based Rapidly Exploring Random Tree Algorithm for Robot Path Planning in Complex Environments
Published 2025-03-01“…This paper introduces a multi-indicator heuristic evaluation-based rapidly exploring random tree (MIHE-RRT) algorithm to address the key challenges of robot path planning in complex environments. The core innovation lies in a novel dual optimization framework that combines Hammersley sequence sampling with a comprehensive multi-indicator heuristic evaluation mechanism. …”
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An Improved STC-Based Full Coverage Path Planning Algorithm for Cleaning Tasks in Large-Scale Unstructured Social Environments
Published 2024-12-01“…Some large social environments are expected to use Covered Path Planning (CPP) methods to handle daily tasks such as cleaning and disinfection. …”
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Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning
Published 2025-02-01Get full text
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments
Published 2025-01-01“…This paper proposes an Adaptive Bi-directional Rapidly-exploring Random Tree (ABi-RRT) algorithm with the objective of addressing challenges in three-dimensional path planning of unmanned aerial vehicle (UAV) operating in complex environments. …”
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Complete Coverage Path Planning for Wind Turbine Blade Wall-Climbing Robots Based on Bio-Inspired Neural Networks and Energy Consumption Model
Published 2025-02-01“…To overcome the limitations of the existing inspection methods, which suffer from low detection precision and inefficiency, this paper proposes a novel complete coverage path planning (CCPP) algorithm for wall-climbing robots operating on wind turbine blades. …”
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MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats
Published 2025-04-01“…We successfully apply these modifications to UAV path planning scenarios in complex environments. …”
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