The Institute of Engineering and Computational Mechanics focuses on questions relating to Technical Dynamics. This is the guideline for many research projects and courses. The research work of the institute is dedicated to technical dynamics in the broadest sense. In the course of time, changing focal points have developed. The research areas include multibody systems, contact mechanics, mechatronics, driving safety and uncertainties.
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MPEG-4 Video - 28.5 MB - MD5: 43f4716088ca4751cf138929ed61000a
Figure 6: Top-view comparison of velocity fields for scrolled and flat shoulders. The first two material layers are shown to illustrate the flow underneath the shoulder.
MPEG-4 Video - 27.6 MB - MD5: d444305566cc1f91535a24f2e0828d32
Figure 7: Top-view comparison of velocity fields for 0◦ and 1◦ tilt angles. The first two material layers are shown to illustrate to highlight the flow underneath the shoulder.
MPEG-4 Video - 9.7 MB - MD5: 982f4edfebb5490a3b76006d3520de00
Figure 8: Comparison of cut sections at 𝑥 = 0 mm for all simulation cases. The blue and green colors represent the advancing and retreating side, respectively.
MATLAB Source Code - 4.1 KB - MD5: ec4da421877518402ed9072dff0f74d2
system definition (minimal coordinates)
MATLAB Source Code - 6.3 KB - MD5: dd22aa09aa8158a40d0ec65cad11b2e8
system definition (redundant coordinates)
MPEG-4 Video - 1.1 MB - MD5: b086cff6ee0a156ac1b40e6285a2a8d6
Animation of the 3-DoF serial manipulator with flexible link.
Mar 20, 2026
Krauspenhaar, Jasmin; Rosenfelder, Mario; Krendelsberger, Emilia; Eberhard, Peter, 2026, "Differential-Drive Robot Data Sets and Reference Trajectories for EDMD", https://doi.org/10.18419/DARUS-5799, DaRUS, V1
This repository provides real-world measurement data for data-driven modeling of a differential drive robot. The data sets are tailored for research on Extended Dynamic Mode Decomposition (EDMD) for control-affine systems. The repository contains data collected using two different sampling strategies. In the first strategy, arbitrary control inputs...
MATLAB Data - 3.5 MB - MD5: 37080310252df551cbf9868403bc3b45
MATLAB Data - 2.2 MB - MD5: a064f9bb5bc002b534ca3f8f992cc406
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