6,201 to 6,210 of 6,229 Results
JSON - 1.7 MB -
MD5: a8e467c05ad95d11d86acd34d54a9c18
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JSON - 1.4 MB -
MD5: 881f0e3d22e7153ccf9c8a63cf602e1b
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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 |
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 |
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... |
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 |
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 |
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 |
Jan 13, 2025 -
NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases"
ZIP Archive - 177.1 MB -
MD5: 6e0120fb5866aaffd82db1fbfa76b252
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Jan 13, 2025 -
NGS data related to Sogl et al. "Specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases"
Adobe PDF - 104.6 KB -
MD5: 1fa8ecab0ba68b617138a98d90160ffc
Description of the data structure |