稳健性(进化)
机器人末端执行器
模块化设计
计算机科学
新兴技术
机器人
风险分析(工程)
系统工程
农业工程
工程类
人工智能
业务
生物
生物化学
基因
操作系统
作者
Joseph K. Davidson,Santosh Bhusal,Changki Mo,Manoj Karkee,Qin Zhang
出处
期刊:Global journal of agricultural and allied sciences
[Association of Nepalese Agricultural Professionals of Americas]
日期:2020-09-09
卷期号:2 (1): 25-41
被引量:12
标识
DOI:10.35251/gjaas.2020.004
摘要
This paper reviews recent developments in manipulator and end-effector technologies for the robotic harvesting of specialty crops that include fruits, vegetables, nursery crops, and nuts among others. Quantitative performance measures and general review criteria, including methods of crop detachment and end-effector sensing, are used to evaluate technologies and determine state-of-the-art in the field. Challenges affecting commercial implementation, limitations of current mechanical designs, and best practices are then presented. Results of the review show that, in general, robotic manipulation during harvesting has been limited by lack of system optimization and insufficient robustness to position error accumulated during visual localization. Inconsistent reporting practices have also hampered research and development across the field. At the conclusion of the review, some avenues of future research that could potentially lead to improvements in system performance are proposed. Some of the proposed recommendations include specific horticultural practices, the development of modular, multi-functional designs, and the incorporation of robust grasping techniques used in many of today’s robotic hands.
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