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41 to 50 of 2,450 Results
hybrid_robust_inverse_v150.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 1.3 MB - MD5: db1c61c68080ee52a0a6a64a93b7ae96
hybrid_robust_inverse_v175.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 1.3 MB - MD5: 0090251f180a6ac9f3a24dbd5e5a6189
hybrid_robust_inverse_v200.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 917.5 KB - MD5: fcbc68c72ee9f4732cfd971a1a352863
setup.txt
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Plain Text - 391 B - MD5: b1f4b1f7e031f50d073d575068a1b62a
setup.txt
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Plain Text - 119 B - MD5: fc93cc7a28c4484290dc48cb6a2fafc2
vel_sweep_x0_n150.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 4.5 MB - MD5: 13bed53184652a120a3d3dac021e7e84
vel_sweep_x0_n50.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 4.5 MB - MD5: 738463171626fccb0a824f590da1df05
vel_sweep_x0_p50.csv
Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling
Comma Separated Values - 4.5 MB - MD5: 2189dee5e45a170e970dae0818374405
Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots
May 28, 2025 - 2023_DFG_RCAL-IMS
Dzubba, Marcel, 2025, "Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots", https://doi.org/10.18419/DARUS-4118, DaRUS, V1, UNF:6:zienI5zq/UH4/+DnUSkN+A== [fileUNF]
Industrial robots are relatively inexpensive, compared to conventional machining tools. However, they suffer in terms of positioning and tracking accuracy. To overcome this issue, laser trackers can be used to calibrate the robot or even for positioning control. The spherically mounted reflector used must always be visible to the laser tracker. The...
abs_error_sim.tab
May 28, 2025 - Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots
Tabular Data - 553.4 KB - 15 Variables, 2500 Observations - UNF:6:kotS25lCQAlDiB0QyIgMkw==
Simulated error between the solely kinematic model (dhh) and the elastokinematic model. The dhh model was virtually calibrated to x = 1.9m and z =0.85m by optimizing for offset angles of q2 and q3. Then a grid of 250x250 samples in q2 and q3 was evaluated. The absolute error is the L2 norm between the x and z coordinates of the dhh and elastokinema...
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