Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
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101 to 110 of 113 Results
MPEG-4 Video - 6.2 MB - MD5: dd5ab9db2a4461711cf42b3d424fc195
In this video, five mobile robots push a +-shaped object along a sinusoidal path.
MPEG-4 Video - 5.1 MB - MD5: 15251b3389d7ea8b2405068b451bf4f3
Four mobile robots transport an object of rectangular shape along a squared path without rotating it in this video.
MPEG-4 Video - 8.6 MB - MD5: 258e062176a5fe28497d97fbce7d44e1
Five mobile robots transport a T-shaped object along an edgy path consisting of pure translation and rotation segments.
MPEG-4 Video - 12.8 MB - MD5: 387a274fe1a1bb2247ac59a203371433
Visualization of the zonotopic manipulation space using the experimental data from "Rectangle_N4_square.mp4".
Jan 25, 2023
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...
May 21, 2021
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...
Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba
a short introduction into the training data and its purpose
MATLAB Data - 754.8 KB - MD5: 77f69e59ded4a67acc231c28e451b569
training data set 1
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