Institute for Control Engineering of Machine Tools and Manufacturing Units

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41 to 50 of 2,448 Results

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
2022_ICM_NWG_Greybox_Modelling(Universität Stuttgart) Jun 6, 2025
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...
dhh_q_regression.tab May 28, 2025 - Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots Tabular Data - 72.1 KB - 4 Variables, 999 Observations - UNF:6:RWgQ1bKuhN+BvGvSHqztzA== Rigid body estimation in q (joint angles) of the regression data set. [x_LT_T_dhh_q, y_LT_T_dhh_q, z_LT_T_dhh_q]^\top can be calculated with eq. 23 by applying the parameters estimated with eq. 24. x_LT_T_dhh_q: x value [m] y_LT_T_dhh_q: y value [m] z_LT_T_dhh_q: z value [m] e_22_norm_dhh_q: euclidean distance between the above stated quantities a...

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 -

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 -

setup.txt

Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling

Plain Text - 391 B -

setup.txt

Jun 16, 2025 - Identification and Validation Data for Robust Inverse Feedforward with Hybrid Modeling

Plain Text - 119 B -

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 -

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 -

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 -

2022_ICM_NWG_Greybox_Modelling(Universität Stuttgart)

Jun 6, 2025

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 -

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...

dhh_q_regression.tab

May 28, 2025 - Replication Data for: A Nonlinear Elasticity Model and Feedforward Compensation Method to Increase Positioning Accuracy of Industrial Robots

Tabular Data - 72.1 KB - 4 Variables, 999 Observations -

Rigid body estimation in q (joint angles) of the regression data set. [x_LT_T_dhh_q, y_LT_T_dhh_q, z_LT_T_dhh_q]^\top can be calculated with eq. 23 by applying the parameters estimated with eq. 24. x_LT_T_dhh_q: x value [m] y_LT_T_dhh_q: y value [m] z_LT_T_dhh_q: z value [m] e_22_norm_dhh_q: euclidean distance between the above stated quantities a...

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