1 to 10 of 96 Results
Jul 25, 2023 - PN 4-4
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... |
Jul 25, 2023 -
Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects
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. |
Jul 25, 2023 -
Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects
MPEG-4 Video - 6.2 MB -
MD5: dd5ab9db2a4461711cf42b3d424fc195
In this video, five mobile robots push a +-shaped object along a sinusoidal path. |
Jul 25, 2023 -
Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects
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. |
Jul 25, 2023 -
Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects
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. |
Jul 25, 2023 -
Experiment Videos of a Force-Based Organization and Control Scheme for the Non-Prehensile Cooperative Transportation of Objects
MPEG-4 Video - 12.8 MB -
MD5: 387a274fe1a1bb2247ac59a203371433
Visualization of the zonotopic manipulation space using the experimental data from "Rectangle_N4_square.mp4". |
May 15, 2023 - PN 4-7
Baier, Alexandra; Frank, Daniel, 2023, "deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning", https://doi.org/10.18419/darus-3455, DaRUS, V1
deepsysid is a system identification toolkit for multistep prediction using deep learning and hybrid methods. The toolkit is easy to use. After you follow the instructions in the README, you will be able to download a dataset, run hyperparameter optimization and identify your bes... |
May 15, 2023 -
deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 8.2 KB -
MD5: e68798898b918b6a4ec7154d7866829b
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May 15, 2023 -
deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 5.4 KB -
MD5: e0c06d485cd94f590fec94ac13fe1b32
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May 15, 2023 -
deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning
Python Source Code - 983 B -
MD5: 180ec7815e9174797f9351f4e0c0bd29
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