2018 IV International Conference on Information Technologies in Engineering Education (Inforino) 2018
DOI: 10.1109/inforino.2018.8581815
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Redundant Manipulator Control System Simulation with Adaptive Neural Network and Newton-Raphson Refinement Algorithm

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“…Due to the existence of lower-mobility parallel mechanism in the series parallel redundant manipulator, there will be some differences in the inverse kinematics solution compared with the series redundant manipulator, but many existing inverse kinematics solution methods of the series redundant manipulator can still be referred to when solving the inverse kinematics of the series parallel redundant manipulator. At present, there are mainly two methods for solving the inverse kinematics of redundant manipulators: the numerical method [9][10] and the analytical method [11]. The numerical method generally uses iterative or optimization methods to solve the inverse kinematics of the redundant manipulator, which has certain applicability, but the real-time of the solution is difficult to guarantee.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the existence of lower-mobility parallel mechanism in the series parallel redundant manipulator, there will be some differences in the inverse kinematics solution compared with the series redundant manipulator, but many existing inverse kinematics solution methods of the series redundant manipulator can still be referred to when solving the inverse kinematics of the series parallel redundant manipulator. At present, there are mainly two methods for solving the inverse kinematics of redundant manipulators: the numerical method [9][10] and the analytical method [11]. The numerical method generally uses iterative or optimization methods to solve the inverse kinematics of the redundant manipulator, which has certain applicability, but the real-time of the solution is difficult to guarantee.…”
Section: Introductionmentioning
confidence: 99%