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is a Research Assistant and PhD Candidate at the Centre for Advanced Manufacturing in the Faculty of Engineering and IT at the University of Technology, Sydney. Her current research focuses on Industry 4.0 and Industrial Data Science, with her PhD aiming to develop a data science-based method to automatically identify the key value streams based on production data. Laura’s research spans on the ability of new technologies to transform processes in various Industries and generate value. Laura has successfully contributed to research projects with industry, Defence and Government partners at UTS since 2018. Recent industry projects that she contributed to include the WHS NSW Guidelines for Safe Collaborative Robot Design and Implementation, and a scoping study focused on additive manufacturing opportunities for Australian agribusiness for Agrifutures. Laura Tomidei holds a B.Sc. and a M.Sc. in Engineering Management from the University of Bologna, and a M.Sc. of Commerce with specialisations in Business Analytics and Business Information Systems from the University of Sydney.

last update: November -0001

Articles published on IXD&A:

• ‘Design Principles for Safe Human Robot Collaboration.’, N. 61, 2024, pp. 66 – 97, abstract, download, (https://doi.org/10.55612/s-5002-061-002), Google Scholar
"With the development of collaborative robots (cobots), a paradigm shift in human-robot collaboration (HRC) is emerging in the workplace. When introducing cobots, a new range of hazards and harms needs..."

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