Position angle analysis by learning algorithm on robotics is extremely important as a tool for predictive maintenance to detect faults and mechanical problems. This paper presents position angle analysis on passive joint using three rotations (3R) under-actuated robot manipulator. Experiment was conducted to predict the position angle which were applied to three joint; Active 1, Active 2 and Passive respectively. Experiment by SIMULINK software was carried out to validate the value of position angle obtained during real-time experiment. As a conclusion, the 3rd position angle of passive joint followed the position angle for Active 1 and Active 2
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
AbstractParallel manipulators (PMs) have been the subject of study, of much robotic research during ...
Position angle analysis by learning algorithm on robotics is extremely important as a tool for predi...
AbstractThis paper devoted for the implementation of a learning algorithm, utilized Artificial Neura...
AbstractThis paper devoted for the implementation of a learning algorithm, utilized Artificial Neura...
An adaptive learning algorithm using an artificial neural network (ANN) has been proposed to predict...
Includes bibliographical references (pages [87]-90)In order for an industrial robot to perform a par...
The purpose of this paper is to study the performance of the 3R manipulator arm using the PI control...
Underactuated manipulators are a class of robotic mechanisms where passive joints are present. By co...
The purpose of this paper is to study the performance of the 3R manipulator arm using the PI control...
ABSTRACT: Proprioception is important in maintaining shoulder joint stability. Previous studies inve...
A method for the estimation of the roll angle of a human forearm, when grasped by a robot with an un...
Proprioception, which is recognized to sense limb positions and body movements, has played a vital r...
Proprioception, which is recognized to sense limb positions and body movements, has played a vital r...
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
AbstractParallel manipulators (PMs) have been the subject of study, of much robotic research during ...
Position angle analysis by learning algorithm on robotics is extremely important as a tool for predi...
AbstractThis paper devoted for the implementation of a learning algorithm, utilized Artificial Neura...
AbstractThis paper devoted for the implementation of a learning algorithm, utilized Artificial Neura...
An adaptive learning algorithm using an artificial neural network (ANN) has been proposed to predict...
Includes bibliographical references (pages [87]-90)In order for an industrial robot to perform a par...
The purpose of this paper is to study the performance of the 3R manipulator arm using the PI control...
Underactuated manipulators are a class of robotic mechanisms where passive joints are present. By co...
The purpose of this paper is to study the performance of the 3R manipulator arm using the PI control...
ABSTRACT: Proprioception is important in maintaining shoulder joint stability. Previous studies inve...
A method for the estimation of the roll angle of a human forearm, when grasped by a robot with an un...
Proprioception, which is recognized to sense limb positions and body movements, has played a vital r...
Proprioception, which is recognized to sense limb positions and body movements, has played a vital r...
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
Introduction: Joint angle measurement is an important objective marker in rehabilitation. Inertial m...
AbstractParallel manipulators (PMs) have been the subject of study, of much robotic research during ...