AI in Industrial & Manufacturing

Manufacturing & Industrial

AI has infiltrated every facet of the industry, bringing transformative changes that are reshaping how operations are conducted and managed. This includes innovations in predictive maintenance, quality management, production planning, and environmental monitoring, among other aspects. The integration of AI in industry 4.0 signifies a monumental shift, towards era where machines are not just tools, but collaborators in the manufacturing process.

Our team is committed to enhancing not only the quality but also the sustainability of production solutions, focusing on areas such as predictive maintenance, data-driven condition assessment, and environmental monitoring. By collaborating with diverse departments and external partners, we cultivate a dynamic ecosystem of knowledge exchange and mutual growth, striving to align the industry more closely with the changing needs and aspirations of society.

We are shaping a horizon where manufacturing evolves to be more intelligent and finely tuned to the dynamic requisites of a global society. Our research is powered by harmony and cross-disciplinary cooperation. Building bridges with essential departments like Architecture (D-ARCH), Civil, Environmental and Geomatic Engineering (D-​BAUG), Computer Science (D-​INFK), Information Technology and Electrical Engineering (D-​ITET), Mathematics (D-MATH), Mechanical and Process Engineering (D-MAVT), and Management, Technology, and Economics (D-MTEC), we are fostering a hub of knowledge and innovation. Our collaborative network expands to UZH and HSG, providing a unique and multifaceted perspective.

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Research topics include

  • Predictive Maintenance
  • Production Planning
  • Quality Management
  • Additive Manufacturing
  • Industry 4.0
  • Data-Driven Condition Assessment
  • Robotic Manipulation
  • Augmented Reality in Engineering Design
  • Environmental Monitoring
  • Applications of AI in Manufacturing

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