Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
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Plain Text - 306.9 KB - MD5: 534ac8438f161b312d79846972cc642e
Plain Text - 307.0 KB - MD5: be0d079be048403a74d8d01a5dcb8adb
Plain Text - 306.9 KB - MD5: 76acb6c3a7b1c3e53d9120f382505fb2
Adobe PDF - 2.2 MB - MD5: faaf50d668131d5792fc18dc263947ba
a short introduction into the training data and its purpose
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 forma...
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 en...
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.
JPEG Image - 2.1 MB - MD5: 320ca084cdf7328ef8bde099e5c754f8
Image of the mechanism without the tank.
JPEG Image - 2.1 MB - MD5: f4c46c6e675ef7e7fb88bf6d57fa5ca5
Image of the mechanism with the tank.
JPEG Image - 1.6 MB - MD5: b3cd52149b99fb8262eba9bff47ded0c
Top-view of the mechanism with the tank.
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