Inverse kinematics solution for trajectory tracking using artificial neural networks for SCORBOT ER-4u

This paper presents the kinematic analysis of the SCORBOT-ER 4u robot arm using a Multi-Layered Feed-Forward (MLFF) Neural Network. The SCORBOT-ER 4u is a 5-DOF vertical articulated educational robot with revolute joints. The Denavit-Hartenberg and Geometrical methods are the forward kinematic algorithms used to generate data and train the neural network. The learning of forward-inverse mapping enables the inverse kinematic solution to be found. The algorithm is tested on hardware (SCORBOT-ER 4u) and reliable results are obtained. The modeling and simulations are done using MATLAB 8.0 software

Towards an automated Pan Flute player

This paper outlines some of the design details of creating an automated Pan Flute player targeting the Solomon Island's Pan Flute in the Pacific Region. Hence, the system functionality will be discussed first through a block diagram. Then the design will be further elaborated through discussion of the hardware assembly and different system modules. Thereafter, the results with overview of the system implementation will be presented. Finally, implications of the automated pan flute player on the society and future improvements will be discussed