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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X1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 7.8 KB - MD5: 30edaedc7b43b9fc092e5155b9590a8d
X2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 2.5 MB - MD5: 4afc58a692c9e2d1c9b7552e138f83b3
X2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 111.2 KB - MD5: bb9b32abd6e6de20210ee37d162d71ab
X2.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 34.5 KB - MD5: 9c62cd4bce9b6df105dd7199891e5db3
Y0.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 42.8 KB - MD5: f930a4f3097f1fb072f562197867713c
Y0.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 10.9 MB - MD5: f47fa71a5afe3c933bad13ca0596f092
Y0.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 257.2 KB - MD5: e0fc29022c01410fdb5f5cc62d15433b
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 1.4 MB - MD5: a98dead411c4e02cb25b78761fd26813
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 141.7 KB - MD5: 2802a324b238b34b37edc96801204e21
Y1.txt
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Plain Text - 7.8 KB - MD5: dfb79dfdbc33da0c2800b990a55b2e63
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