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  1.  15
    Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network.Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu & Wen Wang - 2017 - Complexity:1-8.
    Articulated arm coordinate measuring machine is a specific robotic structural instrument, which uses D-H method for the purpose of kinematic modeling and error compensation. However, it is difficult for the existing error compensation models to describe various factors, which affects the accuracy of AACMM. In this paper, a modeling and error compensation method for AACMM is proposed based on BP Neural Networks. According to the available measurements, the poses of the AACMM are used as the input, and the coordinates of (...)
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  2.  5
    Adaptive Neural Tracking Control of Robotic Manipulators with Guaranteed NN Weight Convergence.Jun Yang, Jing Na, Guanbin Gao & Chao Zhang - 2018 - Complexity 2018:1-11.
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    Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO.Guanbin Gao, Fei Liu, Hongjun San, Xing Wu & Wen Wang - 2018 - Complexity 2018:1-11.
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