Feb 15, 2019 · These controllers mainly focus on adaptation scheme under kinematic uncertainties, either secondary task or physical constraints are ignored.
Feb 15, 2019 · In this paper, we propose a novel kinematic controller based on a recurrent neural network(RNN) which is competent in model adaption. An ...
Feb 15, 2019 · Dive into the research topics of 'Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties'. Together ...
However, it remains challenging for redundant manipulators with bounded constraints and model uncertainties. In this paper, we propose a novel adaptive ...
Dive into the research topics of 'Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties'. Together they form a ...
However, it remains challenging for redundant manipulators with bounded constraints and model uncertainties. In this paper, we propose a novel adaptive ...
Abstract Redundant design can greatly improve the flexibility of robot manipulators, but may suffer from potential limitations such as system complicity, ...
People also ask
What is kinematically redundant manipulator?
What is the dynamic model of manipulator?
What is an example of a redundant manipulator?
What is kinematics and dynamics of robotic manipulators?
Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties · Engineering, Computer Science. Neurocomputing · 2019.
This work generalizes projection recurrent neural network based position control of manipulators to that of position-force control, which opens a new avenue to.
The aim of this paper is to design a neural network based adaptive control scheme for redundant manipulators in the presence of model uncertainties and ...