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Development of vision-based sensor of smart gripper for industrial applications

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Author: Hasimah, Ali
Other Authors: hasimahali@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Vision sensor
Smart gripper
Object recognition
Robotic arm
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20583
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spelling my.unimap-205832012-08-09T02:05:47Z Development of vision-based sensor of smart gripper for industrial applications Hasimah, Ali hasimahali@unimap.edu.my Vision sensor Smart gripper Object recognition Robotic arm International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. In recent years, robotic gripper is widely used for different tasks in various fields. Grippers operate with industrial robots for handling and manipulation of objects. Grippers also operate with hard automation for assembling; micro assembling, machining and packaging. This paper aims to develop vision-based sensor of smart gripper which integrates together with its robotic arm for industrial applications. This system incorporates a camera by means vision sensor to automatically detect and recognize the object that having different weight and shapes and send the information to the robot for next task. Gripper with two fingers has been proposed. This finger is designed to move in translational mode where one finger moves and the other is fixed. This smart gripper adopts force sensor that mounted into the finger tip in order to control the force applied when working with wide range of objects that having different weight without crushed or damaged it. Four servo motors are used to drive the four degree of freedom (D. O. F) of a robotic arm. Basic Stamp 2 microcontroller (BS2) is used as a controller unit to control the position and the movement of the smart gripper. A series of experiment shows that the proposed system is able to detect and recognize the object and then send the information/command directly to the robot to execute grasping and lifting phase of the object to the desired location that has been assigned. 2012-08-09T02:05:45Z 2012-08-09T02:05:45Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20583 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Vision sensor
Smart gripper
Object recognition
Robotic arm
spellingShingle Vision sensor
Smart gripper
Object recognition
Robotic arm
Hasimah, Ali
Development of vision-based sensor of smart gripper for industrial applications
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 hasimahali@unimap.edu.my
author_facet hasimahali@unimap.edu.my
Hasimah, Ali
format Working Paper
author Hasimah, Ali
author_sort Hasimah, Ali
title Development of vision-based sensor of smart gripper for industrial applications
title_short Development of vision-based sensor of smart gripper for industrial applications
title_full Development of vision-based sensor of smart gripper for industrial applications
title_fullStr Development of vision-based sensor of smart gripper for industrial applications
title_full_unstemmed Development of vision-based sensor of smart gripper for industrial applications
title_sort development of vision-based sensor of smart gripper for industrial applications
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20583
_version_ 1643793120945504256
score 13.222552

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