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Center-Articulated Hydrostatic Cotton Harvesting Rover Using Visual-Servoing Control and a Finite State Machine

机译:使用视觉伺服控制和有限状态机的中心铰接式静水压棉花收获罗孚

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摘要

Multiple small rovers can repeatedly pick cotton as bolls begin to open until the end of the season. Several of these rovers can move between rows of cotton, and when bolls are detected, use a manipulator to pick the bolls. To develop such a multi-agent cotton-harvesting system, each cotton-harvesting rover would need to accomplish three motions: the rover must move forward/backward, turn left/right, and the robotic manipulator must move to harvest cotton bolls. Controlling these actions can involve several complex states and transitions. However, using the robot operating system (ROS)-independent finite state machine (SMACH), adaptive and optimal control can be achieved. SMACH provides task level capability for deploying multiple tasks to the rover and manipulator. In this study, a center-articulated hydrostatic cotton-harvesting rover, using a stereo camera to locate end-effector and pick cotton bolls, was developed. The robot harvested the bolls by using a 2D manipulator that moves linearly horizontally and vertically perpendicular to the direction of the rover’s movement. We demonstrate preliminary results in an environment simulating direct sunlight, as well as in an actual cotton field. This study contributes to cotton engineering by presenting a robotic system that operates in the real field. The designed robot demonstrates that it is possible to use a Cartesian manipulator for the robotic harvesting of cotton; however, to reach commercial viability, the speed of harvest and successful removal of bolls (Action Success Ratio (ASR)) must be improved.
机译:多个小火星车可以反复采摘棉花结铃作为开始打开,直到本赛季结束。其中几个流动站可以棉花行间移动,并检测铃时,使用机械手挑棉桃。开发这样的多代理棉花收割系统中,每个棉花收获月球车将需要完成三项议案:流动站必须前进/后退,左转/右,和机器人机械手必须移动到收获棉铃。控制这些动作可以涉及多个复杂的状态和转换。然而,使用机器人操作系统(ROS)非依赖性有限状态机(SMACH),自适应和最优控制就可以实现。 SMACH提供任务的能力水平部署多个任务流动站和操纵。在这项研究中,中心铰接静水棉花收获流动站,采用立体相机来定位末端执行器,并挑选棉铃,被开发。该机器人通过使用2D操纵器直线移动的水平和垂直垂直到流动站的运动方向收获棉铃。我们证明环境中的初步结果模拟阳光直射,并在实际的棉田。这项研究通过介绍,在实际操作领域的机器人系统有助于棉花工程。所设计的机器人表明,它可以使用笛卡尔操纵棉花的采摘机器人;然而,要达到商业上的可行性,收获和成功切除棉桃(动作成功率(ASR))的速度必须提高。

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