Abstract
This paper addresses a path control algorithm for an AI robot that performs automatic weeding work. An AI robot can grasp the situation (locations of weeds to be weeded, crops not to be weeded, and obstacles, etc.) of the limited range of the circumference of the AI robot by installed cameras and sensors. The AI robot carries out the weeding work simultaneously, while the path which removes all weeds in a short time is determined and renewed by collecting the situation of the whole object region by moving. Since the object area is wide, it is generally necessary to carry out the weeding work continuously, because the weed may grow again or it may grow from the new place, even if it is the plot which weeded once. In this way, the AI robot basically carries out the weeding work of the whole object region continuously without manual intervention. In this paper, some weeding path control algorithms suitable for such an AI robot are designed, and several algorithms are evaluated by simulation.
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Acknowledgements
This work was partially supported by the Japan Society for the Promotion of Science through Grants-in-Aid for Scientific Research (B) (17H01742).
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Shiba, M., Miwa, H. (2022). Path Control Algorithm for Weeding AI Robot. In: Barolli, L., Kulla, E., Ikeda, M. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-030-95903-6_40
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DOI: https://doi.org/10.1007/978-3-030-95903-6_40
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