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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 ...
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.
May 11, 2023 · Complete coverage path planning requires that the mobile robot traverse all reachable positions in the environmental map.
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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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Oct 1, 2023 · Mobile robot path planning refers to the design of the safely collision-free path with shortest distance and least time-consuming from the starting point to ...
Simulation results show that the proposed CCPP approach with “active obstacle avoidance strategy” based on bioinspired neural network and pedestrian ...
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 ...
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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In this paper, a novel neural network approach is proposed for complete coverage path planning with obstacle avoidance of cleaning robots in nonstationary ...
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