Institute for Control Engineering of Machine Tools and Manufacturing Units

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351 to 360 of 2,475 Results

LT_horizontal_timeseries.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 2.0 MB - 3 Variables, 57313 Observations - UNF:6:173Lu+NQA7PE9o812Fez/g== horizontal circle segment
LT_vertical_timeseries.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 3.5 MB - 3 Variables, 100737 Observations - UNF:6:f/6JWzULXvqysPB7P+56qw== vertical circle segment
nom_param_DHH.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 402 B - 3 Variables, 21 Observations - UNF:6:bFcJ5+qepU3sFXJF9vTdhA== Nominal IR parameter. Construction and convention: axis 1, 2, 4 - 6: modified DH [1] axis 3: Hayati [2] t_6_T_x, t_6_T_y, t_6_T_z: offset ax6 --> target [1]: J. J. Craig, Introduction to robotics. Prentice Hall, 2003. [2]: Hollerbach et al. Sec. 6.2.1 in B. Siciliano and O. Khatib, Springer Handbook of Robotics, 2nd ed., ser. Springer Handbooks...
optimization_args.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 221 B - 12 Variables, 1 Observations - UNF:6:HnV5VN9x0TaqoMxkke6JwQ== p (eq 8b) (from SVD) Delta p * (8a) optimization agrument result using fmincon
regression_results.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 10.9 KB - 13 Variables, 45 Observations - UNF:6:3pu9UDHlN2R3HSs5BnQOXQ== Includes replication data for the optimization (=regression set) using the average standstill joint angles theta1-theta6, lasertrackermeasruements and the cartesian error E_x, E_y, E_z
validation_results.tab Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Tabular Data - 23.4 KB - 13 Variables, 100 Observations - UNF:6:AHecW0hTKOMpcABNU5B/1w== Includes replication data for the validation set using the average standstill joint angles theta1-theta6, lasertrackermeasruements and the cartesian error E_x, E_y, E_z
2023_DFG_RCAL-IMS(Universität Stuttgart) Jan 10, 2025ISW Data Repository
Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems Dec 19, 2024 - 2022_ZIM_IntelliLab Kurth, Daniel, 2024, "Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems", https://doi.org/10.18419/DARUS-4438, DaRUS, V1 This data repository contains the results data associated with a publication named: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems The publication focuses on the design and development of a CAM tool. The tool is developed for the application of lase...
2014_07_10_SC1017C16_HHA.pdf Dec 19, 2024 - Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems Adobe PDF - 77.1 KB - MD5: 90f58c5e292703c1b41006bd7c4f1c03
2014_07_10_SC1017C18_HGA_edit.pdf Dec 19, 2024 - Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems Adobe PDF - 1.1 MB - MD5: 0fb19bd01520ad09fb7fb0d3225af807

LT_horizontal_timeseries.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 2.0 MB - 3 Variables, 57313 Observations -

horizontal circle segment

LT_vertical_timeseries.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 3.5 MB - 3 Variables, 100737 Observations -

vertical circle segment

nom_param_DHH.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 402 B - 3 Variables, 21 Observations -

Nominal IR parameter. Construction and convention: axis 1, 2, 4 - 6: modified DH [1] axis 3: Hayati [2] t_6_T_x, t_6_T_y, t_6_T_z: offset ax6 --> target [1]: J. J. Craig, Introduction to robotics. Prentice Hall, 2003. [2]: Hollerbach et al. Sec. 6.2.1 in B. Siciliano and O. Khatib, Springer Handbook of Robotics, 2nd ed., ser. Springer Handbooks...

optimization_args.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 221 B - 12 Variables, 1 Observations -

p (eq 8b) (from SVD) Delta p * (8a) optimization agrument result using fmincon

regression_results.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 10.9 KB - 13 Variables, 45 Observations -

Includes replication data for the optimization (=regression set) using the average standstill joint angles theta1-theta6, lasertrackermeasruements and the cartesian error E_x, E_y, E_z

validation_results.tab

Jan 14, 2025 - Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Tabular Data - 23.4 KB - 13 Variables, 100 Observations -

Includes replication data for the validation set using the average standstill joint angles theta1-theta6, lasertrackermeasruements and the cartesian error E_x, E_y, E_z

2023_DFG_RCAL-IMS(Universität Stuttgart)

Jan 10, 2025ISW Data Repository

Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems

Dec 19, 2024 - 2022_ZIM_IntelliLab

Kurth, Daniel, 2024, "Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems", https://doi.org/10.18419/DARUS-4438, DaRUS, V1

This data repository contains the results data associated with a publication named: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems The publication focuses on the design and development of a CAM tool. The tool is developed for the application of lase...

2014_07_10_SC1017C16_HHA.pdf

Dec 19, 2024 - Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems

Adobe PDF - 77.1 KB -

2014_07_10_SC1017C18_HGA_edit.pdf

Dec 19, 2024 - Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems

Adobe PDF - 1.1 MB -

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