采摘机器人的定位和轨迹预测算法研究OA
Research on Location and Trajectory Prediction Algorithm of Picking Robot
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.
It first establishes the kinematics model of the picking robot,and then designs a multi information fusion model based on deep neural network and big data technology to achieve the positioning and trajectory prediction of the picking robot.The simulation results show that the prediction accuracy of the model for the picking robot is high,and the error is within the allowable range,which proves that the model has certain reference significance for the location and trajectory prediction of the picking robot.
聂恒志;吴升;张璐
福州大学 数字中国研究院(福建), 福州 350003河南工业职业技术学院, 河南 南阳 473000
农业工程
采摘机器人定位轨迹预测大数据神经网络信息融合
picking robotlocationtrack predictionbig dataneural networkinformation fusion
《农机化研究》 2024 (004)
53-57 / 5
河南省教育规划项目(2020YB0527)
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