@inproceedings{9ceb43ac20ec46ec8cac34767550f02c,
title = "Parallel robots pose accuracy compensation using artificial neural networks",
abstract = "Parallel robots pose accuracy compensation approach using artificial neural networks has been developed. In this method, an artificial neural network is used with conventional inverse kinematics computation module in parallel. A back propagation neural network is designed and implemented to learn parallel robot kinematics model error. The trained neural network can be used to performed on-line pose accuracy compensation in task. Simulation and experimental results for a parallel robot are presented to show the effectiveness of the compensation method based on neural networks.",
keywords = "Accuracy compensation, Artificial neural networks, Kinematics calibration, Parallel robot, Pose accuracy",
author = "Yu, \{Da Yong\} and Cong, \{Da Cheng\} and Han, \{Jun Wei\}",
year = "2005",
doi = "10.1109/ICMLC.2005.1527493",
language = "英语",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
publisher = "IEEE Computer Society",
pages = "3194--3198",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}