Abstract
Based on research and application of agricultural robot’s path planning and autonomous navigation, this paper proposed path planning proposal relied on genetic algorithm, which programmed and calculated some elements, such as target identification, image segmentation and two dimensional grid map of rough sets technology. Through the test, it was observed that harvesting robots can efficiently segment and extract ripe fruits. Besides, it can complete multi-goal tasks. It was proved by practice that rough sets genetic algorithm can obviously improve the speed of path planning. Benefit from it, the efficiency of harvesting task can be promoted as well.
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Tang, X., Ji, Y. (2018). Research on Agricultural Intelligent Robot Based on Path Planning. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_12
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DOI: https://doi.org/10.1007/978-3-319-60744-3_12
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