Autonomous Cooking with Digital Twin Methodology

Kannapinn, Maximilian, Schäfer, Michael

arXiv.org Artificial Intelligence 

Autonomous processes are without question the next big disruptive technology trend. Ambitious selfdriving car projects by major tech companies demonstrate the progress industry has made in the past decade. In contrast to these well-known endeavours, the present work sheds light on the yet unconsidered potential of autonomous cooking processes through Digital Twin (DT) technology. The automation of food processing does not only imply natural industrial benefits but, more importantly in modern times, environmental and health aspects on larger scales as well. Intelligent cooking devices may be beneficial in the quest to transform our food system to help us evolve towards a more environmentally-friendly future. Following the EU Farm to Fork Strategy and Circular Economy Action Plan, we could reach the sustainability goals of the European Green Deal 2030 [7]. It becomes clear that a change in our food system towards less wastage can contribute to our strive to keep global temperatures at safe levels. For instance, a recent Special Report on Climate Change and Land of the Intergovernmental Panel on Climate Change (IPCC) attributed eight to ten percent of the total anthropogenic greenhouse gas emissions to global food loss and wastage [18]. Besides the impact on Climate Change, it is imperative to reach the sustainable development goals of the United Nations, e.g.

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