DESIGN AND EXPERIMENT OF AN END-EFFECTOR FOR HARVESTING SWEET PEPPER IN COMPLIANT OBSTACLE ENVIRONMENT

Author:

HUI Yunting1,LIAO Yangyang1,WANG Decheng1,LI Xinxing2,LU Zhiheng3,YOU Yong1,JIA Hanchu1

Affiliation:

1. College of Engineering, China Agricultural University, Beijing 100083, China

2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

3. Guangxi University, Nanning 530004, China

Abstract

Picking sweet peppers by hand is often time-consuming and laborious. To overcome this, in the current study, we developed an end effector for mechanized and non-destructive harvesting of sweet pepper. The design includes grip modules, shear modules and control systems. Based on the establishment of an approximate mathematical model of sweet pepper fruit and the analysis of the biomechanical characteristics of sweet pepper fruit, a pinch finger was proposed. The proposed mechanism is able to successfully achieve non-destructive and stable fixation of sweet pepper and fruit bunches. Key parameters of peduncles cutting were obtained by the cutting test. A cutting mechanism was then designed to achieve efficient separation of the fruit and fruit stem. The designed end effector achieves precise control through a single-chip microcomputer and multi-sensor integrated control system to achieve mature target fruits. The test results showed that the picking success rate, damage rate and picking time of peppers were 93.3%, 1.6% and 5 seconds, respectively. The end effector designed for sweet pepper picking has a simple and reliable structure, which provides a reference for further research on sweet pepper picking robots.

Publisher

INMA Bucharest-Romania

Reference32 articles.

1. Bac, C.W., Hemming, J., Van Tuijl, B.A.J., Barth, R., Wais, E. and Van Henten, E.J. (2017). Performance Evaluation of a Harvesting Robot for Sweet Pepper. J. Field Robot., 34, 1123-1139.

2. Bac, C.W., Roorda, T., Reshef, R., Berman, S., Hemming, J. and Van Henten, E.J. (2016). Analysis of a motion planning problem for sweet-pepper harvesting in a dense obstacle environment. Biosyst. Eng., 146, 85-97.

3. Chen, K., Zou, X., Guan, Z., Wang, G., Peng, H. and Chongyou, W.U. (2019). Camera Calibration Method of Picking Robot Based on Shuffled Frog Leaping Optimization. T. Chin Soc Agric Mach., 50, 23-34.

4. Chen, J., Wang, H., Jiang, H., Gao, H., Lei, W. and Dang, G. (2012). Design of end-effector for kiwifruit harvesting robot. T. Chin Soc Agric Mach., 43, 151-154.

5. Chiu, Y.C., Yang, P.Y. and Chen, S. (2013). Development of the end-effector of a picking robot for greenhouse-grown tomatoes. Appl. Eng. Agric., 29, 1001-1009.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3