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• W2533682755 abstract "This paper proposes an optimal robot path planning system that can build map, plan optimal paths, and maneuver mobile robots. The system constructs a grid-based map by using information on the locations of the origin and static obstacles. The system calculates the optimal trajectory by using a simplified neural network model and accordingly maneuvers a mobile robot. For dynamic obstacles, the mobile robot can sense the ambient environment and avoid possible collisions. A practical experiment using an Arduino-based platform was conducted to illustrate the effectiveness of the proposed methodology." @default.
• W2533682755 created "2016-10-28" @default.
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• W2533682755 date "2015-11-01" @default.
• W2533682755 modified "2023-09-25" @default.
• W2533682755 title "Optimal robot path planning system by using a neural network-based approach" @default.
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• W2533682755 doi "https://doi.org/10.1109/cacs.2015.7378370" @default.
• W2533682755 hasPublicationYear "2015" @default.
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