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11 to 20 of 2,817 Results
Fig_6_Path_errors.tab
Jul 17, 2025 - Replication Data for: Compensation of the Transmission Errors in Electrically Preloaded Rack-and-Pinion Drives
Tabular Data - 12.3 MB - 9 Variables, 86666 Observations - UNF:6:Eq83h66k07p5GWLGn6MB6A==
Comparison of calculated and measured path errors for different velocities with no external load.
Fig_7_Preload_errors.tab
Jul 17, 2025 - Replication Data for: Compensation of the Transmission Errors in Electrically Preloaded Rack-and-Pinion Drives
Tabular Data - 13.6 MB - 11 Variables, 86666 Observations - UNF:6:WT6Wr4+gWSFE8z8bV2CnBg==
Control error of the preload control for different velocities with no external load. Also includes the averaged difference between the transmission errors of the two drivetrains.
2024_DFG_ZRA_Gleichlauf_verspannt(Universität Stuttgart)
Jul 17, 2025ISW Data Repository
Dissertation Reichenbach(Universität Stuttgart)
Jul 16, 2025ISW Data Repository
Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
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...
analyze.py
Jul 9, 2025 - Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
Python Source Code - 5.0 KB - MD5: fb7b30c0af79f5494c3e0c4e0ef08964
python functions to import csv files
conversion.py
Jul 9, 2025 - Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
Python Source Code - 1.9 KB - MD5: 3ffb364d6fd65bd86484e47034bed33a
python functions for data conversion
COPacabana.xml
Jul 9, 2025 - Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
XML - 10.9 KB - MD5: 88a705112926efe0315e6fee26dd5448
geometry, control, and platform parameters of the cable robot COPacabana at ISW
data_import.py
Jul 9, 2025 - Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
Python Source Code - 6.8 KB - MD5: 1fe7566c3f2eb66b6c50b5081ff68557
python functions for data import
main.py
Jul 9, 2025 - Replication Data for: Experimental Investigation on Adaptive Preload Control for Cable-Driven Parallel Robots
Python Source Code - 23.6 KB - MD5: 9d778fbb22abbab330db576391d55b99
Main Python file which should be primarily executed
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