AbstractPlanar two and three-link manipulators are often used in Robotics as testbeds for various algorithms or theories. In this paper, the case of a three-link planar manipulator is considered. For this type of robot a solution to the inverse kinematics problem, needed for generating desired trajectories in the Cartesian space (2D) is found by using a feed-forward neural network
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Inverse kinematics computation using an artificial neu-ral network that learns the inverse kinematic...
In this work, we pretended to show and compare three methodologies used to solve the inverse kinemat...
In this paper, Multilayer Feedforward Networks are applied to the robot inverse kinematic problem. T...
A neural network based inverse kinematics solution of a robotic manipulator is presented in this pap...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
A neural network based, collision–free, inverse kinematics solution of a three joint robotic manipul...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
A fundamental property of a robotic manipulator system is that it is capable of accurately following...
In this research paper, the multilayer feedforward neural network (MLFFNN) is architected and descri...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In t...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
Inverse kinematic is one of the most interesting problems of industrial robot. The inverse kinematic...
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Inverse kinematics computation using an artificial neu-ral network that learns the inverse kinematic...
In this work, we pretended to show and compare three methodologies used to solve the inverse kinemat...
In this paper, Multilayer Feedforward Networks are applied to the robot inverse kinematic problem. T...
A neural network based inverse kinematics solution of a robotic manipulator is presented in this pap...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
A neural network based, collision–free, inverse kinematics solution of a three joint robotic manipul...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
A fundamental property of a robotic manipulator system is that it is capable of accurately following...
In this research paper, the multilayer feedforward neural network (MLFFNN) is architected and descri...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In t...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
Inverse kinematic is one of the most interesting problems of industrial robot. The inverse kinematic...
Abstract — Inverse kinematics computation using an artificial neural network that learns the inverse...
Inverse kinematics computation using an artificial neu-ral network that learns the inverse kinematic...
In this work, we pretended to show and compare three methodologies used to solve the inverse kinemat...