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Jul 9, 2025 - 2022_DFG_IKEPa
Reichenbach, Thomas; Clar, Johannes; Pott, Andreas; Verl, Alexander, 2025, "Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots", https://doi.org/10.18419/DARUS-4614, DaRUS, V1, UNF:6:yIeeojFX6ZB47EKsVBPaaA== [fileUNF]
Measurement data and analysis scripts to investigate a novel adaptive preload control (APC) for cable-driven parallel robots. The measurement data is provided as csv files and consists of data from two devices: the robot control system and the coordinate measuring system (laser tracker). The data from the robot control system is stored in the "expe...
Python Source Code - 5.0 KB - MD5: fb7b30c0af79f5494c3e0c4e0ef08964
python functions to import csv files
Python Source Code - 1.9 KB - MD5: 3ffb364d6fd65bd86484e47034bed33a
python functions for data conversion
XML - 10.9 KB - MD5: 88a705112926efe0315e6fee26dd5448
geometry, control, and platform parameters of the cable robot COPacabana at ISW
Python Source Code - 6.8 KB - MD5: 1fe7566c3f2eb66b6c50b5081ff68557
python functions for data import
Python Source Code - 23.6 KB - MD5: 9d778fbb22abbab330db576391d55b99
Main Python file which should be primarily executed
Python Source Code - 13.1 KB - MD5: b217db6bdf0e70fee22043ef345e53ca
python function for visualization
Plain Text - 870 B - MD5: f9b91da90be21183a4888e4278c8e346
pip requirements
Python Source Code - 7.3 KB - MD5: 0156b912904757b7ae3eb994ac7e1f76
python class of the cable robot for simulation study
Unknown - 1.3 MB - MD5: f8298f4844bfdf51392cf8a344ac5a26
wire-x library for cable robot computation
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