The traditional collaborative control method for tree pruning robots lacks calculation of observation control parame-ters and state control parameters,resulting in significant control errors.Therefore,this article proposes an intelligent collabo-rative control method of vehicle-mounted tree pruning robot based on multimodal information feature number.This method uti-lizes a multi-modal information feature number algorithm to extract motion features and establish a kinematic model of the ro-bot.At the same time,corresponding collaborative controllers are designed based on the collaborative control objectives,and observation and state parameters are calculated.By searching for the reachable node with the lowest search cost,a tracking path is constructed to achieve collaborative control of the robot.The experimental results show that applying this method to the intelligent collaborative control of vehicle-mounted tree pruning robots can reduce control errors and achieve better control effects.
关键词
多模态信息特征数/车载树枝修剪机器人/智能协同控制/运动学模型
Key words
multi-modal information feature tree/vehicle-mounted tree pruning robot/intelligent collaborative control/kine-matic model
维普
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