Smart Engineering

1. Relevant Research Activity

The Chair for Mechatronics is working on scientific contributions in the framework of the FSP, which are based on parallel methods with a special focus on Rope Manipulators and on the other hand on the application of advanced methods of "Machine Learning". These include, the topics

  • Automated walls of building walls based on rope robot technology and connected to it

    • The use of Building Information Modeling (BIM) for data provision and trajectory generation.

    • The hybrid simulation and optimization of construction processes based on rope robots.

    • The modeling, simulation and control of parallel rope robots.

    • The analysis and optimization of construction methods and construction site logistics (Bruckmann, Mattern et al., 2016, Mattern, Bruckmann et al., 2016)

  • The application of advanced methods of "machine learning" to a variety of problems from Vehicle Engineering and (planned) Robotics. Besides investigations for the prediction of the intention for e.g. (Reichert, Muenst et al., 2016, Rehder, Muenst et al.), the use of this method for estimation in series products of difficult or only very complexly measurable physical quantities (Blume, Reicherts et al., 2015).

Seilroboter1
 

​​2. Projects and Cooperations

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

3. Equipment Facilities

  • Cable Robot Teststand (12m x 6m x 2m und 2 x 2 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.