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There has been tremendous development in machine learning for automation. This is not only reflected by the growing number of papers in the scientific community, but also in the submissions and accepted papers in Conferences and Publications. There is no doubt an ongoing and tough race among machine learning related research. An AdHoc committee was formed in spring 2022 within IEEE CASE to take the lead on promoting research in this field. This AdHoc discussed how to develop strong automation-related ML research by identifying organizational and infrastructure support and niche areas for research leadership, to achieve impactful results in methodology and strategic applications in strategic areas with limited resources. After this first year of fruitful work, both a successful workshop and a panel discussion was organized at IEEE CASE in Mexico City in August 2022. It is the purpose of this TC on Machine Learning for Automation (MLA) to continue and extend this initiative to the broader research community of automation, to promote the research and discussion.

https://www.ieee-ras.org/machine-learning-for-automation