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Abstract:
建立了采摘机器人运动学模型,并设计了基于深度神经网络和大数据技术的多元信息融合模型,实现了对采摘机器人的定位和轨迹预测.仿真结果表明:模型对采摘机器人的预测精度较高,误差在允许的范围内,对采摘机器人定位和轨迹预测具有一定参考意义.
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农机化研究
ISSN: 1003-188X
CN: 23-1233/S
Year: 2024
Issue: 4
Volume: 46
Page: 53-57
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SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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