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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

101 to 110 of 111 Results
Stair_2_output_02.txt
Apr 18, 2024 - Motion and Motor-Current Data of a Four-Bar Linkage
Plain Text - 2.0 MB - MD5: a36592642f49e3d3e8faff639f0860f0
Stair_2_output_02.txt
Apr 18, 2024 - Motion and Motor-Current Data of a Four-Bar Linkage
Plain Text - 1.9 MB - MD5: 05554a92661c593d5e567cb09acbaf75
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.
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
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
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.