A Framework to Enable Eco‐Cyber‐Physical Systems for Robotics‐Focused Digital Twins in Smart Farming
Fiorella Sibona, N. M. Harrison, Nathan Wallace, Salah Sukkarieh, David Raubenheimer, Stephen J. Simpson, L. A. González
- 发表年份
- 2025
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991