Infinity-norm torque minimization for redundant manipulators using a recurrent neural network

2003 ◽  
Author(s):  
Wai Sun Tang ◽  
Jun Wang ◽  
Yangsheng Xu
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Redundant Manipulators ◽  
Infinity Norm

scholarly journals Recurrent Neural Network for State Adjustment of Redundant Manipulators

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 109783-109790
Author(s):  
Long Jin ◽  
Li He ◽  
Zhiguan Huang ◽  
Jun Wang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Redundant Manipulators

Second Order Recurrent Neural Network for the Inverse Kinematics of Redundant Manipulators

2013 ◽  
Vol 391 ◽  
pp. 114-117
Author(s):  
Run Sheng Hao
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Inverse Kinematics ◽  
Second Order ◽  
Degree Of Freedom ◽  
Redundant Manipulators ◽  
Good Precision ◽  
Inverse Kinematics Problem ◽  
Simulation Results ◽  
Three Degree Of Freedom

In this paper, the second order recurrent neural network is adopted to study the inverse kinematics problem of three degree-of-freedom planar redundant manipulators. The Simulation results show that the network can effectively solve the inverse kinematics problem of redundant manipulators, and it reaches to good precision of solution and solving speed.

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