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A Path Planning Method for Comprehensive Area Coverage ...
www.researchgate.net › publication › 37...
This paper concentrates on the benefits, drawbacks, principles, characteristics, limitations, and uses of each type of sensor and path-planning algorithm. Then, ...
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Oct 22, 2024 · In this paper, a novel neural network approach is proposed for complete coverage path planning with obstacle avoidance of cleaning robots in ...
In this paper, a novel neural network approach is proposed for complete coverage path planning with obstacle avoidance of cleaning robots in nonstationary ...
Yang proposed a biologically inspired neural network algorithm for robot path planning. This method does not need neural network learning, and has the ...
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Jun 15, 2023 · The representative methods of ACPP include unit decomposition method, line scan segmentation method and grid method. The grid method mainly ...
May 11, 2023 · Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map.
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Deep Learning-Based Complete Coverage Path Planning With Re ...
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Mar 21, 2022 · This study proposes a new framework that tackles issues of environment mapping, path generation, CCPP, and dynamic obstacle avoidance in a hierarchical manner.
Apr 8, 2021 · In this paper, a neural dynamic based algorithm is proposed for complete grid coverage. The proposed paradigm is useful for mobile robot path ...
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In this paper, a complete coverage neural network (CCNN) algorithm for the path planning of a USV is proposed for the first time.
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Oct 15, 2023 · The proposed algorithm helps robots of varying widths achieve higher area coverage in lesser steps, energy and distance.