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- W2792205530 abstract "In order to improve the measurement precision of 6-axis force/torque sensor for robot, BP decoupling algorithm optimized by GA (GA-BP algorithm) is proposed in this paper. The weights and thresholds of a BP neural network with 6-10-6 topology are optimized by GA to develop decouple a six-axis force/torque sensor. By comparison with other traditional decoupling algorithm, calculating the pseudo-inverse matrix of calibration and classical BP algorithm, the decoupling results validate the good decoupling performance of GA-BP algorithm and the coupling errors are reduced." @default.
- W2792205530 created "2018-03-29" @default.
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- W2792205530 date "2018-02-01" @default.
- W2792205530 modified "2023-09-24" @default.
- W2792205530 title "An optimized BP neural network based on genetic algorithm for static decoupling of a six-axis force/torque sensor" @default.
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- W2792205530 doi "https://doi.org/10.1088/1757-899x/311/1/012002" @default.
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