scholar.google.com › citations
A neural-network-based scheme is used for the control of a robotic manipulator. The main idea is that, by using a neural network to learn the ...
Control of robotic manipulators-a neural network approach. PRAMOD GUPTAt and ... A neural-network-based scheme is used for the control ofa robotic manipulator.
Control of robotic manipulators - a neural network approach · Pramod Gupta, N. Sinha · Published in International Journal of… 1 July 1998 · Computer Science, ...
... neural network approaches to control of robotic manipulators. Applications ... An unsupervised learning based neural network approach for a robotic manipulator.
Jan 1, 2021 · Page 1. Page 2. Neural Network Control of Robot. Manipulators and ... approaches yield high- performance control. Instead, their role (in ...
People also ask
What is manipulator path control in robotics?
What are the applications of neural networks in robotics?
What is an example of a robotic manipulator?
Is a neural network a control system?
In this paper, we present a lifelong deep learning-based control of robotic manipulators with nonstandard adaptive laws using singular value decomposition ...
Neural network control Scheme for robotic manipulator(Lewis et al., 1996). So, the neural network controller developed in this paper was based on this paper.
A neural network approach to pointwise control of robot manipulators. Abstract: The use of neural networks as an alternative to the computation-intensive ...
The robotic manipulator can be regarded as a multivariable, strongly coupled, and uncertain nonlinear system, which is susceptible to model parameter ...
Adaptive Neural Network Control of Robotic Manipulators · Decision support systems using intelligent paradigms for profitability control · An intelligent approach ...