The complexity of forward kinematic modelling increases with the increase in the degrees of freedom for a manipulator. To reduce the computational weight and time lag for desired output transformation, this paper proposes a forward kinematic model mapped with the help of the Radial Basis Function Neural Network (RBFNN) architecture tuned by a novel meta-heuristic algorithm, namely, the Cooperative Search Optimisation Algorithm (CSOA). The architecture presented is able to automatically learn the kinematic properties of the manipulator. Learning is accomplished iteratively based only on the observation of the input–output relationship. Related simulations are carried out on a 3-Degrees of Freedom (DOF) manipulator on the Robot Operating Syst...
Inverse kinematics analysis plays an important role in developing a robot manipulator. But it is not...
In this chapter, the carrying of an object at a workspace, which was perceived by vision, to another...
The application of robots is growing in most countries, occupying a relevant place in everyday envir...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
A fundamental property of a robotic manipulator system is that it is capable of accurately following...
As the degrees of freedom (DOF) for a manipulator rise, so does the complexity of inverse kinematic ...
In this paper, a set of Radial Basis Function (RBF)neural networks, capable to learn the kinematic a...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
The solution of robot inverse kinematics has a direct impact on the control accuracy of the robot. C...
Inverse kinematic equations allow the determination of the joint angles necessary for the robotic ma...
In this paper, the Bees algorithm was used to train multi-layer perceptron neural networks to model ...
In this research paper, the multilayer feedforward neural network (MLFFNN) is architected and descri...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
In recent years machine learning techniques have received an increasing interest, since they can be ...
Inverse kinematics analysis plays an important role in developing a robot manipulator. But it is not...
In this chapter, the carrying of an object at a workspace, which was perceived by vision, to another...
The application of robots is growing in most countries, occupying a relevant place in everyday envir...
A fundamental function of robotic manipulators is to let the end-effector precisely follow the traj...
A fundamental property of a robotic manipulator system is that it is capable of accurately following...
As the degrees of freedom (DOF) for a manipulator rise, so does the complexity of inverse kinematic ...
In this paper, a set of Radial Basis Function (RBF)neural networks, capable to learn the kinematic a...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
Automatic control of the robotic manipulator involves study of kinematics and dynamics as a major is...
The solution of robot inverse kinematics has a direct impact on the control accuracy of the robot. C...
Inverse kinematic equations allow the determination of the joint angles necessary for the robotic ma...
In this paper, the Bees algorithm was used to train multi-layer perceptron neural networks to model ...
In this research paper, the multilayer feedforward neural network (MLFFNN) is architected and descri...
This paper presents an inverse kinematic solver for a robotic arm based on an artificial neural netw...
In recent years machine learning techniques have received an increasing interest, since they can be ...
Inverse kinematics analysis plays an important role in developing a robot manipulator. But it is not...
In this chapter, the carrying of an object at a workspace, which was perceived by vision, to another...
The application of robots is growing in most countries, occupying a relevant place in everyday envir...