Solution to the inverse kinematics problem in robotics by neural networks
Guez, Ahmad - IEEE 1988 International Conference on Neural …, 1988 - ieeexplore.ieee.org
Guez, Ahmad
IEEE 1988 International Conference on Neural Networks, 1988•ieeexplore.ieee.orgThe authors use a neural-network model in the solution of the inverse kinematics problem in
robotics. It is found that the neural network can be trained to generate a fairly accurate
solution which, when augmented with local differential inverse kinematic methods, results in
minimal burden on processing load of each control cycle and thus allows real-time robot
control. Further benefits are expected from the natural fault tolerance of the neural network
and the elimination of the costly derivation and programming of the inverse kinematic …
robotics. It is found that the neural network can be trained to generate a fairly accurate
solution which, when augmented with local differential inverse kinematic methods, results in
minimal burden on processing load of each control cycle and thus allows real-time robot
control. Further benefits are expected from the natural fault tolerance of the neural network
and the elimination of the costly derivation and programming of the inverse kinematic …
The authors use a neural-network model in the solution of the inverse kinematics problem in robotics. It is found that the neural network can be trained to generate a fairly accurate solution which, when augmented with local differential inverse kinematic methods, results in minimal burden on processing load of each control cycle and thus allows real-time robot control. Further benefits are expected from the natural fault tolerance of the neural network and the elimination of the costly derivation and programming of the inverse kinematic algorithm.< >
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