Smart Engineering

1. Relevant Research Activity

Within the framework of the FSP, the Chair of Mechatronics is working on scientific contributions based, on the one hand, on methods from the field of parallel mechanisms with a special focus on cable manipulators and, on the other hand, on the application of advanced methods of "Machine Learning". These include the topics

• Automated wall building on the basis of cable robot technology and related to this
  • The use of Building Information Modelling (BIM) for data provision and trajectory generation.
  • The hybrid simulation and optimisation of construction processes based on cable robots.
  • The modelling, simulation and control of parallel cable robots.
  • The analysis and optimisation of construction processes and site logistics (Bruckmann, Mattern et al. 2016, Mattern, Bruckmann et al. 2016)

• The application of advanced "machine learning" methods to a variety of problems from vehicle technology and (planned) robotics. Here, in addition to studies on predicting the intention of e.g. road users (Rehder, Muenst et al. 2016, Rehder, Muenst et al. 2016), the focus is also on the application to estimation in series products of physical quantities that are difficult or very costly to measure (Blume, Reicherts et al. 2015).

​
 

​​2. Projects and Cooperations

• „Automated Wall Building“

The project is supported by funding from the Mercator Research Center Ruhr (MERCUR). Project partners are the Chair of Construction Management at TU Dortmund University (Prof. Gralla), the Chair of Computer Science in Construction at RUB (Prof. König) and the Chairs/Institutes of Mechatronics (Prof. Schramm) and Construction Management (Prof. Malkwitz) at UDE.

• Machine learning algorithms in mobile applications for the prediction of unknown states

3. Equipment

• Cable robot test rigs (12m x 6m x 2m and 2m x 2m x 2m)
• Several dynamically driven and static driving simulators

4. Five selected publications or patents

• [1] BLUME, S., S. REICHERTS and D. SCHRAMM, Verfahren zur Lösung von Echtzeitmodellen in mobilen Anwendungen. Fachtagung Mechatronik 2015, Dortmund, Deutschland, 2015.
• [2] BRUCKMANN, T., H. MATTERN, A. SPENGLER, C. REICHERT, A. MALKWITZ and M. KÖNIG, Automated Construction of Masonry Buildings using Cable-Driven Parallel Robots. Proceedings of 33rd International Symposium on Automation and Robotics in Construction (ISARC 2016), Auburn, Alabama, USA, 2016.
• [3] MATTERN, H., T. BRUCKMANN, A. SPENGLER and M. KÖNIG, Simulation of Automated Construction using Wire Robots. Proceedings of the 2016 Winter Simulation Conference, Washington, D.C., USA, 2016.
• [4] REHDER, T., W. MUENST, L. LOUIS and D. SCHRAMM, Influence of Different Ground Truth Hypothesis on the quality of Bayesian Networks for Maneuver Detection and Prediction of Driving Behavior. 13th International Symposium on Advanced Vehicle Control (AVEC 2016), München, Deutschland, 2016.
• [5] REHDER, T., W. MUENST, L. LOUIS and D. SCHRAMM, Learning Lane Change Intentions through Lane Contentedness Estimation from Demonstrated Driving. 19th IEEE Intelligent Transportation Systems Conference (ITSC 2016), Rio De Janeiro, Brasilien, 2016.