A method is proposed to solve the inverse kinematics and control problems of robot control systems using a cerebellar model articulation controller neural network combined with a genetic algorithm. Computer simulations and exp-eriments with a 7-DOF redundant modular manipulator have demonstrated the effectiveness of the proposed method
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Ce travail de thèse explore les capacités des réseaux de neurones à estimer les fonctions robotiques...
Abstract—This paper describes a hybrid approach to the problem of controlling flexible link manipula...
Thesis (Master)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2003Includes bibliogr...
AbstractA novel hybrid cerebellar model articulation controller (CMAC) and online adaptive genetic a...
Redundancy in robots is very much an open research area in the field of robotics. As the tasks requi...
Model-based control is now a significant technology for the control of robots. Models and control sc...
This book presents and investigates different methods and schemes for the control of robotic arms wh...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
Redundancy resolution is a critical problem in the control of robotic manipulators. Recurrent neural...
An iterative method using the neural networks to solve the inverse kinematics problem for equal leng...
In this study, a hybrid intelligent solution system including neural networks, genetic algorithms an...
In this paper, the structural genetic algorithm is used to optimize the neural network to control th...
A redundant manipulator can be defined as a manipulator that has more degrees of freedom than necess...
Inverse kinematic is one of the most interesting problems of industrial robot. The inverse kinematic...
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Ce travail de thèse explore les capacités des réseaux de neurones à estimer les fonctions robotiques...
Abstract—This paper describes a hybrid approach to the problem of controlling flexible link manipula...
Thesis (Master)--Izmir Institute of Technology, Mechanical Engineering, Izmir, 2003Includes bibliogr...
AbstractA novel hybrid cerebellar model articulation controller (CMAC) and online adaptive genetic a...
Redundancy in robots is very much an open research area in the field of robotics. As the tasks requi...
Model-based control is now a significant technology for the control of robots. Models and control sc...
This book presents and investigates different methods and schemes for the control of robotic arms wh...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
Redundancy resolution is a critical problem in the control of robotic manipulators. Recurrent neural...
An iterative method using the neural networks to solve the inverse kinematics problem for equal leng...
In this study, a hybrid intelligent solution system including neural networks, genetic algorithms an...
In this paper, the structural genetic algorithm is used to optimize the neural network to control th...
A redundant manipulator can be defined as a manipulator that has more degrees of freedom than necess...
Inverse kinematic is one of the most interesting problems of industrial robot. The inverse kinematic...
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Ce travail de thèse explore les capacités des réseaux de neurones à estimer les fonctions robotiques...
Abstract—This paper describes a hybrid approach to the problem of controlling flexible link manipula...
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