Design and Implementation of a Gantry Robot for Pick and Place Mechanism with Obstacle Detection using Programmable Logic Controller

Author(s):

Shubhi Thatere; Parbbhpreet Arora; Yajush Sharma; Roushan Kumar; Raj Gaurav Mishra

Published in:

HCTL Open International Journal of Technology Innovations and Research (IJTIR), eISSN: 2321-1814

Published on:

01-June-2016

Volume:

Volume 20, Issue 1, May 2016, ISBN:978-81-932623-0-6.

Copyright Information:

© 2016 by the Authors; Licensed by HCTL Open, India.

License Information:

This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License.

Abstract

The Project presents the design and implementation of a gantry robot, which performs pick and place mechanism and also detect the obstacles coming in its path. Picking and placing manually is the inefficient flaws for the production line industries. It become less productive, slow and non flexible processing when it comes to manual mechanism. To overcome this problem we introduce a 3 axis rectangular plane gantry robot. This is a Cartesian coordinate robot, which performs pick and place mechanism and also detects the obstacles which encounters in its path. The system comprises of gantry robot with a conveyor system, and completely controlled by programmable logical controller. This provides the effective design of the system. The most important requirement to take into account were those regarding accuracy, weight of the object, metal and non metal detection, obstacle detection and overall cost of the system.


Keywords

Cartesian robot, Programmable Logic controller, Proximity sensor, Pneumatic cylinder

Cite this Article

Shubhi Thatere; Parbbhpreet Arora; Yajush Sharma; Roushan Kumar; Raj Gaurav Mishra, Design and Implementation of a Gantry Robot for Pick and Place Mechanism with Obstacle Detection using Programmable Logic Controller, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 20, Issue 1, May 2016, e-ISSN: 2321-1814, ISBN (Print): 978-81-932623-0-6.

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