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: a3908bb0f7244023a27e6c448e6dce21
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Jupyter Notebook - 316.4 KB - MD5: 831201fbdc3bf1ec5fcda84fecd96890
A Python Jupyter notebook to parse and visualize the present data set.
Jul 25, 2023
Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects", https://doi.org/10.18419/DARUS-3611, DaRUS, V1
The videos provided show experimental results of the cooperative object transportation using mobile robots with on-board force control. In particular, the mobile robots shall transport four different polygonal, but non-convex, objects along predefined paths. The distributed formation synthesis explicitly takes the robots' maximum pushing force into...
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.
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