苹果采摘机械臂采摘策略及末端执行器研究现状

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Chunlin Chen , Zhuoying Song , Xiang Li , Chongcheng Chen , Fuzeng Yang , Zheng Wang
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引用次数: 0

摘要

目前,苹果采摘机器人的采摘效率不高,容易损坏果实,严重影响了苹果采摘机器人的产品化和市场化。因此,有必要对苹果采摘机器人的研究现状进行系统的综述。本文首先对苹果采摘机器人的研究现状进行了综述。对模拟人类动作的拾取动作、避障策略、轨迹规划算法和多臂协同拾取策略进行了深入的讨论和总结。然后,分析了苹果采摘机器人末端执行器的关键结构。本研究进一步阐述了其采摘方式,以及刚性和柔性的特点。最后,针对机器人采摘策略和采摘末端执行器存在的问题,更全面系统地综述了该领域的研究现状和面临的挑战,为推动苹果采摘机器人的进一步发展和应用提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research status of apple picking robotic arm picking strategy and end-effector
Currently, the picking efficiency of apple picking robot is not high, easy to damage the fruit, which seriously affects the productization and marketization of apple picking robot. Therefore, it is necessary to conduct a systematic review of the research status of apple picking robots. Firstly, this paper summarizes the research status of apple picking robot. The picking motions that simulate human actions, obstacle avoidance strategies, trajectory planning algorithms, and multi-arm cooperative picking strategies are discussed and summarized in depth. Then, the key structure of the apple picking robot’s end-effector is analyzed. This study further elaborates on its picking mode, along with the rigidity and flexibility characteristics. Finally, aiming at the problems existing in robot picking strategies and picking end-effectors, this paper systematically reviews the research status and challenges in this field more comprehensively, and provides references for promoting the further development and application of apple picking robots.
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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