The data are used to identify the  kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.

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[1] Silu Chen, "Cartesian_robot_calibration_experiment_data", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/yxdw-jp45. Accessed: Jan. 28, 2021.
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doi = {10.21227/yxdw-jp45},
url = {http://dx.doi.org/10.21227/yxdw-jp45},
author = {Silu Chen },
publisher = {IEEE Dataport},
title = {Cartesian_robot_calibration_experiment_data},
year = {2020} }
TY - DATA
T1 - Cartesian_robot_calibration_experiment_data
AU - Silu Chen
PY - 2020
PB - IEEE Dataport
UR - 10.21227/yxdw-jp45
ER -
Silu Chen. (2020). Cartesian_robot_calibration_experiment_data. IEEE Dataport. http://dx.doi.org/10.21227/yxdw-jp45
Silu Chen, 2020. Cartesian_robot_calibration_experiment_data. Available at: http://dx.doi.org/10.21227/yxdw-jp45.
Silu Chen. (2020). "Cartesian_robot_calibration_experiment_data." Web.
1. Silu Chen. Cartesian_robot_calibration_experiment_data [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/yxdw-jp45
Silu Chen. "Cartesian_robot_calibration_experiment_data." doi: 10.21227/yxdw-jp45