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基于遗传迭代和模糊控制的采摘机器人目标追踪算法

Target Tracking Algorithm for Picking Robot Based on Genetic Iteration and Fuzzy Control

  • 摘要: 为了提高采摘机器人目标追踪的效率和精度,在机器人视觉系统和控制系统的设计上引入了遗传迭代算法和模糊PID控制器,通过对图像处理过程和机械执行末端动作过程进行优化,可以得到更佳的采摘效果。在视觉系统对采摘图像进行处理时,可以通过遗传迭代算法对高质量图像进行筛选,并提高果实成熟度匹配的效率,果实识别后采用模糊PID控制算法对机器人执行末端进行控制,使其可以以更高的精度追踪到果实,执行采摘任务。

     

    Abstract: In order to improve the efficiency and accuracy of target tracking of picking robot, it introduced genetic iteration algorithm and fuzzy PID controller in the design of robot vision system and control system. By optimizing the image processing process and the action process of the end of the machine, it obtained the picking effect when the vision system processes the picking image, the high-quality image can be screened by genetic iteration algorithm, and the efficiency of fruit maturity matching can be improved. After fruit recognition, the fuzzy PID control algorithm is used to control the end of the robot’s execution, so that it can track the fruit with higher accuracy and perform picking. Tasks.

     

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