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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291 to 300 of 301 Results
Stair_2.txt
Apr 18, 2024 - Motion and Motor-Current Data of a Four-Bar Linkage
Plain Text - 170 B - MD5: 3e6f69ab32fd3ce07dc44365aed13fc4
tutorial.ipynb
Apr 18, 2024 - Motion and Motor-Current Data of a Four-Bar Linkage
Jupyter Notebook - 316.4 KB - MD5: 831201fbdc3bf1ec5fcda84fecd96890
A Python Jupyter notebook to parse and visualize the present data set.
Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots
Jan 25, 2023 - PN 4-4
Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots", https://doi.org/10.18419/DARUS-3331, DaRUS, V1
The videos provided show two experimental results of cooperative object transportation using lightweight omnidirectional mobile robots. In particular, the mobile robots shall transport two different polygonal, but non-convex, objects along predefined paths. No central decision entity is employed; the tasks are accomplished in a purely distributed m...
RosenfelderEbelEberhard23_ForceSynthesis_T.mp4
Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots
MPEG-4 Video - 7.1 MB - MD5: bc4571f66bf409948dc2a6aa5c4210fd
RosenfelderEbelEberhard23_ForceSynthesis_U.mp4
Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots
MPEG-4 Video - 8.3 MB - MD5: 83f9203386ecb32803b94a68217049d0
A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
May 21, 2021 - PN 4-4
Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1
The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...
documentation.pdf
documentation.pdf
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba
a short introduction into the training data and its purpose
messung1.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569
training data set 1
messung2.mat
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
MATLAB Data - 745.8 KB - MD5: 104873a233e7f2a7126c88073fa3aa22
training data set 2
README.txt
May 21, 2021 - A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot
Plain Text - 1.0 KB - MD5: 4e8c9364d65d846be139ff83b1ff28b6
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