441 to 450 of 2,806 Results
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
MPEG-4 Video - 198.0 MB -
MD5: b85150733fd6224fb0d66d0c3a815921
video of the experiment with position-controlled operation using inverse kinematics (STD) |
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
Python Source Code - 8.2 KB -
MD5: 76663f324dc382ff50c59a4ccd82ac18
MAIN python script |
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
Plain Text - 292 B -
MD5: abfbdefb543aef0d81098ccb6ebb1c3b
pip requirements |
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
Python Source Code - 3.1 KB -
MD5: 82fc421853b65fe3daae0e5718b92bc0
python class of the cable robot for simulation study |
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
Adobe PDF - 30.1 KB -
MD5: a79482f047fb1572b80e62fdc58ac5cd
plot of simulation study results |
May 27, 2025 -
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
Unknown - 1.3 MB -
MD5: f8298f4844bfdf51392cf8a344ac5a26
precompiled version of WiPy from WireX |
Feb 25, 2025 - 2024_DFG_HyComp2
Bauer, Christian Johannes Eugen, 2025, "Replication Data for: "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series"", https://doi.org/10.18419/DARUS-4454, DaRUS, V1, UNF:6:nXjE3jdP0ifitg6Z/WjD2A== [fileUNF]
This dataset contains all identification and validation data used in the conference paper "Modeling Load-, Velocity-, and Temperature-Dependent Transmission Errors of Cycloidal Drives for Industrial Robots Using Fourier Series". The experimental data was recorded using an experimental setup to identify the transmission error of cycloidal drives as... |
Plain Text - 9.0 KB -
MD5: 42ce1d194e93a8011004e87feb06e231
MATLAB script to reproduce the figures 3 - 6 in the publication |
Plain Text - 4.5 KB -
MD5: 0fc2530e57e21b0e0f27a825cfbe266d
MATLAB function to read the measurement data |
Tabular Data - 10.5 MB - 2 Variables, 281713 Observations - UNF:6:QAaxwk2hTHJN/9wZlTFpNA==
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