A Framework to Enable Eco-Cyber-Physical Systems for Robotics-Focused Digital Twins in Smart Farming

IF 5.2 2区 计算机科学 Q2 ROBOTICS
Fiorella Sibona, Nicholas Harrison, Nathan Wallace, Conrad Stevens, Salah Sukkarieh, David Raubenheimer, Stephen J. Simpson, Luciano A. González
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引用次数: 0

Abstract

This paper introduces the R-ECPS (Robotics-focused Eco-Cyber-Physical System) framework for the development of robotics-enabled digital twins, integrating human knowledge into the decision-making process. Our framework adapts ECPS and Digital Twin (DT) definitions to agricultural field robotics. We illustrate its application by envisioning an autonomous digital twin for smart livestock management. The presented preliminary implementation includes a digital testbed, an autonomous environmental parameter mapping algorithm, and a foraging model. Development choices are the result of interdisciplinary collaboration across field robotics, biology, and nutrition. Initial results from a proof-of-concept trial reveal both challenges and opportunities for improvement. Despite limitations in the use case early implementation, our framework provides a roadmap for future steps and aims at laying the foundation for advancing robotics-focused agricultural digital twins.

Abstract Image

为智能农业中以机器人为重点的数字孪生实现生态网络物理系统的框架
本文介绍了R-ECPS(以机器人为中心的生态网络物理系统)框架,用于开发机器人支持的数字孪生,将人类知识整合到决策过程中。我们的框架将ECPS和数字孪生(DT)定义应用于农业领域机器人。我们通过设想智能牲畜管理的自主数字孪生来说明其应用。提出的初步实现包括数字测试平台、自主环境参数映射算法和觅食模型。发展选择是跨领域机器人、生物学和营养学跨学科合作的结果。概念验证试验的初步结果揭示了改进的挑战和机遇。尽管在用例早期实施中存在局限性,但我们的框架为未来的步骤提供了路线图,旨在为推进以机器人为重点的农业数字孪生奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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