Research on the Bionic Flexible End-Effector Based on Tomato Harvesting

J. Sensors Pub Date : 2022-08-11 DOI:10.1155/2022/2564952
Tiezheng Guo, Yifeng Zheng, Weixi Bo, Jun Liu, Jie Pi, Wei Chen, Junzhuo Deng
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引用次数: 5

Abstract

Aiming at the problems that tomatoes are fragile and the traditional end-effector design is not suitable for tomato picking, a combination of the bionic principle of FRE structure and finger design was proposed. Based on the physical properties of tomatoes, a flexible underactuated end-effector for tomato picking and sorting was designed. The optimal structural parameters of fingers were determined by finite element analysis, and the tomato grasping experiment was carried out. The results show that the flexible end can grasp and transport tomatoes with diameters ranging from 65 to 95 mm without damage, which can withstand 7 N tensile force, the load is more than 2 times of its own weight, the tomato coverage rate is greater than 23.6%, and the effective grab rate is 100% and has the advantages of the strong stability, universality, and protection. The research provides a novel solution for the design and application of the tomato picking and sorting robot end-effector.
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基于番茄收获的仿生柔性末端执行器研究
针对番茄易碎和传统末端执行器设计不适合采摘番茄的问题,提出了将FRE结构的仿生原理与手指设计相结合的方法。根据番茄的物理特性,设计了一种柔性欠驱动番茄采摘分选末端执行器。通过有限元分析确定了手指的最佳结构参数,并进行了番茄抓取实验。结果表明,柔性端可抓取运输直径65 ~ 95 mm的番茄而不损坏,可承受7 N拉力,载荷大于自重2倍,番茄覆盖率大于23.6%,有效抓取率为100%,具有稳定性强、通用性强、保护性强等优点。该研究为番茄采摘分拣机器人末端执行器的设计和应用提供了新的解决方案。
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