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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readme.md
Oct 21, 2024 - A Data Set for Research on Differential-Drive Mobile Robots in the Context of EDMD
Markdown Text - 1.9 KB - MD5: 388d6752f1f5a68e730a536b7158d9a7
X0.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
X0.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: 003aef29ea34580ea16e65fac7b3f0c6
X0.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
X1.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: 07e36ba0cddac3de2e791988925277c1
X1.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: 67d0b208891a8c293115e16a59d0f76e
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
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