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• W3119208799 abstract "SUMMARY This paper presents a novel method for modeling a 3-degree of freedom open kinematic chain using quaternions algebra and neural network to solve the inverse kinematic problem. The structure of the network was composed of 3 hidden layers with 25 neurons per layer and 1 output layer. The network was trained using the Bayesian regularization backpropagation. The inverse kinematic problem was modeled as a system of six nonlinear equations and six unknowns. Finally, both models were tested using a straight path to compare the results between the Newton–Raphson method and the network training." @default.
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• W3119208799 date "2021-01-08" @default.
• W3119208799 modified "2023-09-27" @default.
• W3119208799 title "Modeling of Inverse Kinematic of 3-DoF Robot, Using Unit Quaternions and Artificial Neural Network" @default.
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• W3119208799 doi "https://doi.org/10.1017/s0263574720001071" @default.
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