English

Autonomous Cooking with Digital Twin Methodology

Computational Engineering, Finance, and Science 2022-09-08 v1 Machine Learning Dynamical Systems Biological Physics Fluid Dynamics

Abstract

This work introduces the concept of an autonomous cooking process based on Digital Twin method- ology. It proposes a hybrid approach of physics-based full order simulations followed by a data-driven system identification process with low errors. It makes faster-than-real-time simulations of Digital Twins feasible on a device level, without the need for cloud or high-performance computing. The concept is universally applicable to various physical processes.

Keywords

Cite

@article{arxiv.2209.03087,
  title  = {Autonomous Cooking with Digital Twin Methodology},
  author = {Maximilian Kannapinn and Michael Schäfer},
  journal= {arXiv preprint arXiv:2209.03087},
  year   = {2022}
}

Comments

Accepted version of manuscript published in Proceedings of WCCM-ECCOMAS 2020

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