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Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process

Conference Venue : UniKL MFI

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Bibliographic Details
Main Authors: Samsi Md Said, Amir Sharizam Ismail, Ishkandar Baharin
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Published: 2013
Subjects:
Contour tracking
TCP
Single Sensor Logic
Adapting Gradient
Programming Automation
Online Access:http://ir.unikl.edu.my/jspui/handle/123456789/4613
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id my.unikl.ir-4613
record_format eprints
spelling my.unikl.ir-46132013-11-19T07:03:43Z Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process Samsi Md Said, Amir Sharizam Ismail Ishkandar Baharin Contour tracking TCP Single Sensor Logic Adapting Gradient Programming Automation Conference Venue : UniKL MFI Two Sensors is being used in on and off schem to automate the industrial robot automatic edg detection process. In dual sensor logic th ascending, descending and flat curve can b identified immediately and the next movement ca be planned. This work is trying to improve fro two proximity sensors to only one sensor for th said task. In order to implement one sensor fo normally dual sensor approach in general contou tracking application need creativity in roboti programming. The creativity aspect need to b tapped in order to plan sensing movement an application movement simultaneously with onl one sensor since the objective of contour trackin work is to do online tracking. Online trackin meaning the robot tracks unknown contour an performing application work such welding o painting simultaneously. Offline tracking is quit forgiving since the robot can do any movement t capture contour information in the searching phas while filtering out the noise points in th subsequent execution phase such as doing weldin or sealing jobs. The result from this work show that the adapting gradient method reduced th overall accumulation of tracking error even thoug employing only single sensor for detection purpose 2013-11-19T07:03:43Z 2013-11-19T07:03:43Z 2013-11-19 http://ir.unikl.edu.my/jspui/handle/123456789/4613
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
topic Contour tracking
TCP
Single Sensor Logic
Adapting Gradient
Programming Automation
spellingShingle Contour tracking
TCP
Single Sensor Logic
Adapting Gradient
Programming Automation
Samsi Md Said, Amir Sharizam Ismail
Ishkandar Baharin
Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
description Conference Venue : UniKL MFI
format
author Samsi Md Said, Amir Sharizam Ismail
Ishkandar Baharin
author_facet Samsi Md Said, Amir Sharizam Ismail
Ishkandar Baharin
author_sort Samsi Md Said, Amir Sharizam Ismail
title Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
title_short Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
title_full Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
title_fullStr Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
title_full_unstemmed Autonomous Edge Detection Improvement using Adapting Gradient Methodology for the Automation of Robotic Teaching Process
title_sort autonomous edge detection improvement using adapting gradient methodology for the automation of robotic teaching process
publishDate 2013
url http://ir.unikl.edu.my/jspui/handle/123456789/4613
_version_ 1644484665205063680
score 13.222552

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