In this paper, a model free neural network based adaptive impedance control scheme is developed. The controller does not require dynamic modelling of the system ...

This is due to the fact that impedance control is to make interaction between the constrained robot and the environment to follow a desired dynamic impedance.

In this paper, a model free neural network based adaptive impedance control scheme is developed. The controller does not require dynamic modelling of the ...

Jan 30, 2022 · This paper presents a dynamic neural network based adaptive impedance control method for redundant robots under multiple physical constraints.

In this paper, we propose a force and position controller for a robot manipulator using a neurocontroller (NC) with genetic algorithm (GA) based training.

Oct 11, 2021 · In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC) scheme is proposed for the electrically driven flexible-joint robotic ...

In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC) scheme is proposed for the electrically driven flexible-joint robotic ...

Centre for Robotics & Vision @ AUT. Centre for Robotics & Vision @ AUT ... Home » Neural network based adaptive impedance control of constrained robots.

This article presents an adaptive neural network (ANN) control scheme based on a disturbance observer that can achieve trajectory tracking control of robotic ...

Oct 3, 2022 · This article focus on the problems of trajectory tracking and motion constraint for physical human–robot interaction, and a compliant adaptive control method ...