Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task

DOI

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 two sets:"experiment_std.csv" is the measurement data for the performed motion in STD operation and "experiment_apc.csv" is the data of the APC method.

Additionally, the motion profiles are stored as nc file.

The robot-specific parameters are stored in COPacabana.xml.

To analyze and plot the data, the "main.py" script must be executed using python and the installed packages in "requirements.txt". Additionally, the WiPy.pyd package must be imported.

Identifier
DOI https://doi.org/10.18419/DARUS-4075
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-4075
Provenance
Creator Reichenbach, Thomas ORCID logo; Clar, Johannes ORCID logo; Pott, Andreas ORCID logo; Verl, Alexander ORCID logo
Publisher DaRUS
Contributor Reichenbach, Thomas
Publication Year 2025
Funding Reference DFG 470674716 ; DFG 317440765
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Reichenbach, Thomas (University of Stuttgart)
Representation
Resource Type experimental data; Dataset
Format text/x-python; text/xml; text/csv; video/mp4; application/x-netcdf; application/pdf; text/plain; application/octet-stream
Size 1526; 1783; 11863; 670545; 207679991; 1982; 106945; 665558; 207624926; 8436; 292; 3211; 30821; 1329664
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences