Object locator and collector robotic arm using artificial neural networks

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015

Publication Date

1-25-2016

Abstract

This paper suggests an artificial neural network approach to an object locator and picker. A robotic arm with two joints and a rotating base will function as a pick-and-place machine. The system follows the following constraints: (1) the base of the robotic arm will be situated at a predetermined and fixed position, hence limiting the area at which it can locate and pick an object and; (2) the object will be placed on a flat surface. The span of the robotic arm will determine this area. Also, it should be noted that the arm's base and joints can move for limited angles only. The area of interest by the arm will be mapped into grids with coordinates. The inputs to the artificial neural network system will be the coordinates at which the object was positioned. Its outputs will be the angles of each joint of the robotic arm such that it can pick the object at its corresponding position. © 2015 IEEE.

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2015.7393209

Disciplines

Electrical and Computer Engineering | Electrical and Electronics

Keywords

Robot hands; Neural networks (Computer science)

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