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Publication Year: 2025

6,371 to 6,380 of 6,407 Results

WFW-NR-R_15.json Jan 15, 2025 - Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique JSON - 1.7 MB - MD5: a8e467c05ad95d11d86acd34d54a9c18
WFW-NR-R_30.json Jan 15, 2025 - Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique JSON - 1.4 MB - MD5: 881f0e3d22e7153ccf9c8a63cf602e1b
Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration Jan 14, 2025 - 2023_DFG_RCAL-IMS Dzubba, Marcel, 2025, "Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration", https://doi.org/10.18419/DARUS-4559, DaRUS, V1, UNF:6:M2qey7HDLQnXPG9z/Tu+vw== [fileUNF] This paper presents a straightforward algorithm for locating laser trackers in the calibration tasks of industrial robots. Laser trackers are important for enhancing the positioning precision of industrial robots, which generally experience positioning inaccuracies. The algorithm meets the requirement for accurate kinematic models to guarantee the...
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
NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases" Jan 13, 2025 - Amplicon based bisulfite NGS data Jeltsch, Albert; Bashtrykov, Pavel, 2025, "NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases"", https://doi.org/10.18419/DARUS-4515, DaRUS, V1, UNF:6:bSvQoJxvb+T/iyQGPOvTBA== [fileUNF] Analysis of flanking sequence preference with a randomized substrate and bioinformatic data For analysis of the flanking sequence preference, substrate with different target sites sites in a 9 or 10 bp randomized sequence context were prepared as described (Dukatz, et al. 2020; Dukatz, et al. 2022). Substrate methylation reactions were performed wi...

WFW-NR-R_15.json

Jan 15, 2025 - Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique

JSON - 1.7 MB -

WFW-NR-R_30.json

Jan 15, 2025 - Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique

JSON - 1.4 MB -

Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

Jan 14, 2025 - 2023_DFG_RCAL-IMS

Dzubba, Marcel, 2025, "Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration", https://doi.org/10.18419/DARUS-4559, DaRUS, V1, UNF:6:M2qey7HDLQnXPG9z/Tu+vw== [fileUNF]

This paper presents a straightforward algorithm for locating laser trackers in the calibration tasks of industrial robots. Laser trackers are important for enhancing the positioning precision of industrial robots, which generally experience positioning inaccuracies. The algorithm meets the requirement for accurate kinematic models to guarantee the...

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

NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases"

Jan 13, 2025 - Amplicon based bisulfite NGS data

Jeltsch, Albert; Bashtrykov, Pavel, 2025, "NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases"", https://doi.org/10.18419/DARUS-4515, DaRUS, V1, UNF:6:bSvQoJxvb+T/iyQGPOvTBA== [fileUNF]

Analysis of flanking sequence preference with a randomized substrate and bioinformatic data For analysis of the flanking sequence preference, substrate with different target sites sites in a 9 or 10 bp randomized sequence context were prepared as described (Dukatz, et al. 2020; Dukatz, et al. 2022). Substrate methylation reactions were performed wi...

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