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An automated fruit harvesting robot by using deep learning

机译:利用深度学习,自动化水果收获机器人

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Automation and labor saving in agriculture have been required recently. However, mechanization and robots for growing fruits have not been advanced. This study proposes a method of detecting fruits and automated harvesting using a robot arm. A highly fast and accurate method with a Single Shot MultiBox Detector is used herein to detect the position of fruit, and a stereo camera is used to detect the three-dimensional position. After calculating the angles of the joints at the detected position by inverse kinematics, the robot arm is moved to the target fruit s position. The robot then harvests the fruit by twisting the hand axis. The experimental results showed that more than 90% of the fruits were detected. Moreover, the robot could harvest a fruit in 16 s.
机译:最近需要自动化和农业劳动力节省。然而,用于生长果实的机械化和机器人尚未先进。该研究提出了一种使用机器人臂检测水果和自动收割的方法。在本文中使用了一种高度快速准确的方法,用于检测果实的位置,并且使用立体相机来检测三维位置。在通过反向运动学计算检测位置处的接头的角度之后,机器人臂被移动到目标果实位置。然后,机器人通过扭曲手轴来收获果实。实验结果表明,检测到90%以上的果实。此外,机器人可以在16秒内收获水果。

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