摘要
针对采摘机器人在果蔬采摘时不能准确识别和精准采摘方面的问题,基于KVM技术对新一代采摘机器人进行了设计和研究。该采摘机器人的主要组成部分为硬件系统和软件系统。对采摘机器人的软件系统进行设计,包括采用静态和动态的果蔬识别方式、采用PID控制算法进行自动导航、采用人工势场的方法进行采摘时的避障,保证了果蔬的准确识别和精准采摘。为了验证采摘机器人的采摘性能,采用识别定位和采摘试验进行验证。结果表明:采摘机器人的识别和采摘性能良好,可以满足农户对于采摘机器人的性能要求。
Aiming at the problem of inexact identification and unaccurate picking during fruit and vegetable picking, the latest generation of picking robots was designed and studied based on KVM technology. The picking robots were constituted of hardware system and software system. The software of the picking robot was designed to ensure the exact identification and accurate picking. It included that adopted the static state and dynamic state identification pattern, automatic navigation by the control of PID control method, obstacle avoidance by the method of artificial potential field. To verify the picking performance of the picking robot, the identification and picking tests were done. The test results show that the identification and picking performance of picking robot were well, and it could meet the performance requirement of farmer.
作者
李奇
Li Qi(Huaihua Polytechnic College,Huaihua 418000,China)
出处
《农机化研究》
北大核心
2021年第12期148-151,156,共5页
Journal of Agricultural Mechanization Research
基金
湖南省教育厅科学研究立项项目(18c1657)。
关键词
采摘机器人
KVM技术
软件系统
PID控制算法
人工势场
果蔬识别
picking robot
KVM technology
software system
PID control method
artificial potential field
identification pattern