Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique

DOI

Simulated dataset for the investigative workspace study considering a gradient descent reconfiguration method for Reconfigurable Cable-Driven Parallel Robots (RCDPRs). This corresponds to the submitted paper: 'Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique'. The dataset contains the following files:

Numerical description of the simulated RCDPR (.wcrfx) Results of the workspace study presented

  Workspace comuted with the Brute-Force-Reconfiguration method (BFR) for three different platform rotations (.json)
  Workspace comuted with the No-Reconfiguration method (NR) for three different platform rotations (.json)
  Workspace comuted with the Gradient-Descent-Reconfiguration method (GDR) for three different platform rotations (.json)

All workspace files contain the follwing data:

Method related information/ parameter (see publication) wrench: Load vector applied on the platform (w_p) rotation_matrix: Rotation matrix of the platform (w_p) num_reconfig_axes: Number of reconfiguration axes used grid_info: Information of the grid used in the grid search num_of_points: Number of points in the wrench-feasible-workspace (WFW) calc_time: Calculation time needed for the WFW-computation reachable_points: List of all points of the WFW

Identifier
DOI https://doi.org/10.18419/DARUS-3879
Related Identifier IsCitedBy https://doi.org/10.1007/978-3-031-64057-5_18
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-3879
Provenance
Creator Clar, Johannes ORCID logo
Publisher DaRUS
Contributor Clar, Johannes
Publication Year 2025
Funding Reference DFG 317440765 ; BMWK SDM4FZI
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Clar, Johannes (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/octet-stream; application/json
Size 11797; 2579335; 2415077; 2252182; 2428650; 2129933; 1681305; 1893214; 1749424; 1481223
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences