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Chair for Technologies and Management of Digital Transformation

Univ. Prof. Dr. Ing. Tobias Meisen

Applied Artificial Intelligence in Industry

Digitalization is having an impact on more and more central areas of life, leading to changes in social structures and a new social interaction. At the same time, the industrial benefits and the associated value of digital data have changed in recent years. The collection of data is no longer restricted to the boundaries of the company, but also includes user and usage data as well as data relating to further processing. Peter Sondergaard's statement in October 2011: "Information is the oil of the 21st century and analytics is the combustion engine" has thus become factually true. Of course, this is not just about owning digital data alone, but also or especially about the ability to generate added value from this data. Companies must face up to this change and deal with new market structures as well as these new environments, on the one hand because future employees come from this world and on the other hand because their customers develop a changed expectation attitude.

The goal of the research work "Applied Artificial Intelligence in Industry" is to accompany and support companies in the use and introduction of AI-based solutions. In doing so, the multitude of different challenges are identified, the data basis is analyzed and evaluated and individual possibilities and solutions are developed. In the course of this process further use cases are identified and evaluated. This enables us, for example, to develop and implement new services such as predictive maintenance and predictive quality for production.

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Our team is competent, science-driven and innovative. Talk to us!

Interested in this research?

Would you like to write a thesis in this research area? Then look here for open topics or contact us at meisen{at}

Would you like to delve deeper into this field? Then join our team as a research assistant! Further information here

Selected relevant publications

Christian Scheiderer; Timo Thun; Christian Idzik; Andrés Felipe Posada-Moreno; Alexander Krämer; Johannes Lohmar; Gerhard Hirt; Tobias Meisen
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
Procedia Manufacturing, 51:897--903
ISSN: 2351-9789

Keywords: topic-applied-ai

Christian Scheiderer; Timo Thun; Tobias Meisen
Bézier Curve Based Continuous and Smooth Motion Planning for Self-Learning Industrial Robots
Procedia Manufacturing, 38:423--430
ISSN: 2351-9789
Richard Meyes; Hasan Tercan; Tobias Meisen
Artificial Intelligence in Automotive Production
Mobility in a Globalised World 2018, 22:308--324
Richard Meyes; Christian Scheiderer; Tobias Meisen
Continuous Motion Planning for Industrial Robots based on Direct Sensory Input
Procedia CIRP, 72:291--296
ISSN: 22128271
Richard Meyes; Hasan Tercan; Thomas Thiele; Alexander Krämer; Julian Heinisch; Martin Liebenberg; Gerhard Hirt; Christian Hopmann; Gerhard Lakemeyer; Tobias Meisen; Sabina Jeschke
Interdisciplinary Data Driven Production Process Analysis for the Internet of Production
Procedia Manufacturing, 26:1065--1076
ISSN: 2351-9789
Hasan Tercan; Toufik Al Khawli; Urs Eppelt; Christian Büscher; Tobias Meisen; Sabina Jeschke
Improving the Laser Cutting Process Design by Machine Learning Techniques
Production Engineering, 11(2):195--203
ISSN: 18637353
Richard Meyes; Hasan Tercan; Simon Roggendorf; Thomas Thiele; Christian Büscher; Markus Obdenbusch; Christian Brecher; Sabina Jeschke; Tobias Meisen
Motion Planning for Industrial Robots using Reinforcement Learning
Procedia CIRP, 63:107--112
ISSN: 22128271
Hasan Tercan; Toufik Al Khawli; Urs Eppelt; Christian Büscher; Tobias Meisen; Sabina Jeschke
Use of Classification Techniques to Design Laser Cutting Processes
Procedia CIRP, 52:292--297
ISSN: 22128271
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