Add to ORKGAbstract—This short paper describes the application of a model free, learning neural controller, that is able to optimally control a flexible joint of a robot arm. I
Control of flexible joint robot manipulators using a combined controller with neural network an
An adaptive control strategy has been developed for flexible-joint robotic manipulators in the prese...
Abstract By relying on the input–output feedback linearization approach, a novel adaptive controller...
This paper focuses on neural learning from adaptive neural control (ANC) for a class of flexible joi...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
This paper presents dynamic learning from adaptive neural control with prescribed tracking error per...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
The elasticity of soft robots is influenced by the employed controller. High-gain feedback technique...
A neural network controller is proposed for the motion control of robot manipulators with force/torq...
grantor: University of TorontoAn artificial neural network (ANN) control method is develop...
Abstract:- In this paper a comparison of classical, adaptive and neural control strategies for a rob...
The paper is concerned with the application of quadratic optimization for motion control to feedback...
Elastic joints endow robots with advantages including energy-efficiency, safety and performance. To...
This paper proposes a control strategy based on artificial neural networks (ANN) for a positioning s...
Control of flexible joint robot manipulators using a combined controller with neural network an
Control of flexible joint robot manipulators using a combined controller with neural network an
An adaptive control strategy has been developed for flexible-joint robotic manipulators in the prese...
Abstract By relying on the input–output feedback linearization approach, a novel adaptive controller...
This paper focuses on neural learning from adaptive neural control (ANC) for a class of flexible joi...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
This paper presents dynamic learning from adaptive neural control with prescribed tracking error per...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
The elasticity of soft robots is influenced by the employed controller. High-gain feedback technique...
A neural network controller is proposed for the motion control of robot manipulators with force/torq...
grantor: University of TorontoAn artificial neural network (ANN) control method is develop...
Abstract:- In this paper a comparison of classical, adaptive and neural control strategies for a rob...
The paper is concerned with the application of quadratic optimization for motion control to feedback...
Elastic joints endow robots with advantages including energy-efficiency, safety and performance. To...
This paper proposes a control strategy based on artificial neural networks (ANN) for a positioning s...
Control of flexible joint robot manipulators using a combined controller with neural network an
Control of flexible joint robot manipulators using a combined controller with neural network an
An adaptive control strategy has been developed for flexible-joint robotic manipulators in the prese...
Abstract By relying on the input–output feedback linearization approach, a novel adaptive controller...