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.
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.