Human–Robot Collaboration in Modern Agriculture: A Review of the Current Research Landscape

Author:

Yerebakan Mustafa Ozkan1ORCID,Hu Boyi1ORCID

Affiliation:

1. Department of Industrial and Systems Engineering University of Florida 303 Weil Hall, P.O. Box 116595 Gainesville FL 32611‐6595 USA

Abstract

Recent years have witnessed an increased utilization of robotics systems in agricultural settings. While fully autonomous farming holds great potential, most systems fall short of meeting the demands of present‐day agricultural operations. The use of human labor or teleoperated robots is also limited due to the physiological constraints of humans and the shortcomings of interfaces used to control robots. To harness the strengths of autonomous capabilities and endurance of robots, as well as the decision‐making capabilities of humans, human–robot collaboration (HRC) has emerged as a viable approach. By identifying the various applications of HRC in current research and the infrastructure employed to develop them, interested parties seeking to utilize collaborative robotics in agriculture can gain a better understanding of the possibilities and challenges they may encounter. In this review, an overview of existing HRC applications in the agricultural domain is provided. Additionally, general trends and weaknesses are identified within the research corpus. This review serves as a presentation of the state‐of‐the‐art research of HRC in agriculture for professionals considering the adoption of HRC. Robotics engineers can utilize this review as a resource for easily accessing information on the hardware, software, and algorithms employed in building HRC systems for agriculture.

Funder

National Institute of Food and Agriculture

Publisher

Wiley

Subject

General Medicine

Reference111 articles.

1. M. C.García‐Alegre A.Ribeiro L.García‐Pérez R.Martínez D.Guinea A.Pozo‐Ruz in3ECPA‐3 European Conf. On Precision Agriculture Montpellier2001.

2. Implementing Precision Agriculture in the 21st Century

3. Precision agriculture—a worldwide overview

4. Precision Agriculture and Sustainability

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