Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
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Plain Text - 1.9 MB - MD5: 75655d0a202aab371773173eb12c2dcd
Plain Text - 2.0 MB - MD5: 0e3bceea3a92a10396ff731dd0beccea
Plain Text - 2.0 MB - MD5: a36592642f49e3d3e8faff639f0860f0
Plain Text - 1.9 MB - MD5: 05554a92661c593d5e567cb09acbaf75
Plain Text - 170 B - MD5: 3e6f69ab32fd3ce07dc44365aed13fc4
Jupyter Notebook - 316.4 KB - MD5: 831201fbdc3bf1ec5fcda84fecd96890
A Python Jupyter notebook to parse and visualize the present data set.
MPEG-4 Video - 5.8 MB - MD5: 256136379a930f31986db42fb84b2fa5
This video shows how three omnidirectional mobile robots transport an L-shaped object along a circular path.
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.
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