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Design and fuzzy control of a robotic gripper for efficient strawberry harvesting

机译:高效草莓收获机械手的设计与模糊控制

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Strawberry is a very delicate fruit that requires special treatment during harvesting. A hierarchical control scheme is proposed based on a fuzzy controller for the force regulation of the gripper and proper grasping criteria, that can detect misplaced strawberries on the gripper or uneven distribution of forces. The design of the gripper and the controller are based on conducted experiments to measure the maximum gripping force and the required detachment force under a variety of detachment techniques. It is demonstrated that the hand motion for detaching the fruit from the stem has a significant role in the process because it can reduce the required force. By analysing those results a robotic gripper with pressure profile sensors is developed that demonstrates an efficiency comparable to the human hand for strawberry grasping. The designed gripper and fuzzy controller performance is tested with a considerable number of fresh fruits to demonstrate the effectiveness to the uncertainties of strawberry grasping.
机译:草莓是一种非常精致的水果,收割时需要特殊处理。提出了一种基于模糊控制器的抓取器力调节和适当抓取标准的分层控制方案,该方案可以检测抓取器上草莓放置不当或力的分布不均。夹具和控制器的设计基于进行的实验,以在各种分离技术下测量最大夹持力和所需的分离力。事实证明,将水果从茎上摘下的手势动作在过程中起着重要作用,因为它可以减小所需的力。通过分析这些结果,开发了一种带有压力轮廓传感器的机器人抓手,该抓手表现出了与人的草莓抓握相当的效率。使用大量新鲜水果对设计的抓手和模糊控制器的性能进行了测试,以证明对草莓抓地力不确定性的有效性。

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