Journal of Marine Science and Engineering, 2023 A deep reinforcement learning method to achieve complete coverage path planning for an unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the workspace required for complete coverage.
Bowen Xing +4 more
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Smooth Complete Coverage Trajectory Planning Algorithm for a Nonholonomic Robot
Sensors, 2022 The complete coverage path planning is a process of finding a path which ensures that a mobile robot completely covers the entire environment while following the planned path.
Ana Šelek +3 more
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Evolutionary Algorithm-Based Complete Coverage Path Planning for Tetriamond Tiling Robots [PDF]
Sensors, 2020 Tiling robots with fixed morphology face major challenges in terms of covering the cleaning area and generating the optimal trajectory during navigation.
Anh Vu Le +2 more
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Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm [PDF]
Frontiers in Robotics and AI, 2022 With the introduction of autonomy into the precision agriculture process, environmental exploration, disaster response, and other fields, one of the global demands is to navigate autonomous vehicles to completely cover entire unknown environments. In the
Tingjun Lei +3 more
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Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints
Agriculture, 2023 Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann +2 more
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Complete coverage path planning in an agricultural environment
, 2018 vii CHAPTER 1: INTRODUCTION 1 1.1 Problem Statement 1 1.2 Prior Research 2 1.3 Research Direction 9 CHAPTER 2: COST FORMULATION 10 2.1 Cost Functions in Prior Work 10 2.2 Preliminary Cost Formulation Findings 11 2.3 Chosen Cost Function 17 CHAPTER 3: ALGORITHM 25 3.1 Algorithm Overview 25 3.2 Sweep Direction 27 3.3 Trapezoidal ...
Driscoll, Theresa
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Complete coverage path planning of nuclear radiation field using bio-inspired neural network
Fushe yanjiu yu fushe gongyi xuebaoPath planning for the complete coverage of nuclear radiation fields is necessary to ensure the radiation safety of regional operators in radiation environments. Based on a bio-inspired neural network algorithm, a complete coverage path-planning algorithm
LUO Zhaojin +8 more
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Complete Coverage Path Planning Strategy for Reconfigurable Robot With Variable Footprint
IEEE AccessAutonomous mobile robots (AMRs) face challenges in navigating complex environments efficiently. To manoeuvre through both narrow and wide spaces, AMRs require two essential design features: a compact form for tight areas as well as a large configuration ...
Qinrui Tang +5 more
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Reinforcement Learning-Based Complete Area Coverage Path Planning for a Modified hTrihex Robot
Sensors, 2021 One of the essential attributes of a cleaning robot is to achieve complete area coverage. Current commercial indoor cleaning robots have fixed morphology and are restricted to clean only specific areas in a house. The results of maximum area coverage are
Koppaka Ganesh Sai Apuroop +3 more
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An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments [PDF]
Scientific ReportsIn 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
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