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21,511 to 21,520 of 25,658 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 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.
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".
Jul 25, 2023 - PN 6-4
Schäfer, Noel; Tilli, Pascal; Munz-Körner, Tanja; Künzel, Sebastian; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2023, "Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3597, DaRUS, V1
Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (https://doi.org/10.18419/darus-3589).
7Z Archive - 156.9 MB - MD5: 1900cd3a2a3a6836888073127a4978f5
Pregenerated evaluation data
7Z Archive - 2.5 GB - MD5: 6521038f236d50fd2d24aad27ca30bb4
Pretrained model parameters
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