Learning control for robotic manipulators has been developed over the past decade and to the best of the authors’ knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the control area in robotic manipulators. Learning control in robotic manipulators is mainly used to address the issue that the friction at the joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. In this paper, the authors review and discuss the learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated. This review is able t...
Several alternative learning control algorithms are discussed, both from an inverse dynamics and an ...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
Models are among the most essential tools in robotics, such as kinematics and dynamics models of the...
A robust learning control (RLC) scheme is developed for robotic manipulators by a synthesis of learn...
A robust learning control (RLC) scheme is developed for robotic manipulators by a synthesis of learn...
It is usually adequate to control the motion of robotic manipulator for tasks such as spray painting...
A method of robot manipulator control is proposed whereby algorithms are used to learn sum of polyno...
For the trajectory following problem of a robot manipulator, a novel linear learning control law, co...
A new class of non-linear learning control laws is introduced for a robot manipulator to track a giv...
A new discrete-time formulation of iterative learning control is developed in which partial knowledg...
The increasing importance of machine learning in manipulator control is reviewed from two main persp...
Much of the recent work on motor learning and rehabilitation robotics has focused on developing soph...
Humans exploit dynamics—gravity, inertia, joint coupling, elasticity, and so on—as a regular part of...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
Robot Kinematics and Control has been a vital part in studying the motion of the robot manipulator. ...
Several alternative learning control algorithms are discussed, both from an inverse dynamics and an ...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
Models are among the most essential tools in robotics, such as kinematics and dynamics models of the...
A robust learning control (RLC) scheme is developed for robotic manipulators by a synthesis of learn...
A robust learning control (RLC) scheme is developed for robotic manipulators by a synthesis of learn...
It is usually adequate to control the motion of robotic manipulator for tasks such as spray painting...
A method of robot manipulator control is proposed whereby algorithms are used to learn sum of polyno...
For the trajectory following problem of a robot manipulator, a novel linear learning control law, co...
A new class of non-linear learning control laws is introduced for a robot manipulator to track a giv...
A new discrete-time formulation of iterative learning control is developed in which partial knowledg...
The increasing importance of machine learning in manipulator control is reviewed from two main persp...
Much of the recent work on motor learning and rehabilitation robotics has focused on developing soph...
Humans exploit dynamics—gravity, inertia, joint coupling, elasticity, and so on—as a regular part of...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
Robot Kinematics and Control has been a vital part in studying the motion of the robot manipulator. ...
Several alternative learning control algorithms are discussed, both from an inverse dynamics and an ...
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic ...
Models are among the most essential tools in robotics, such as kinematics and dynamics models of the...