The Fuzzy Logic Approach for Modelling Object Physical Features and Holes Occupancies

Syed Abdul Hamid , Syed Mohamad Shazali and Sulaiman , Marizan and Said, Mohamed Azmi (2008) The Fuzzy Logic Approach for Modelling Object Physical Features and Holes Occupancies. In: 2nd Engineering Conference on Sustainable Engineering , 18 December 2008, Kuching, Sarawak.

[img] Microsoft Word
ENCON08-112.docx
Restricted to Registered users only

Download (800kB) | Request a copy

Abstract

Abstract— This paper introduces the fuzzy logic approach for modelling object physical features and holes occupancies. There are four major algorithms involved. They are known as coloured balls detection, holes recognition, cupboard’s holes’ position modelling and pixel coordinate system (PCS) to robot coordinate system (RCS) conversion. The inputs are received from a webcam which is not calibrated. This project introduces how to assist a robot arm system using vision system for making decision during conducting an operation or task. The system discussed in this paper had successfully tested and no camera calibration needed because the system has self calibration effect since the cupboard had modelled by the information of the holes of the cupboard and not by it environment. This system is generated in on-event processes and suitable for indoor environment applications with low time frame rate camera. This project introduces how to assist a robot arm system using vision system for making decision during conducting an operation or task. One of the advantages of this project is that it only used a camera and image processing generated by the algorithms itself without additional sensor such as sonar or IR sensor.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering > Department of Mechatronics Engineering
Depositing User: En. Mohamed Azmi Said
Date Deposited: 07 Feb 2014 07:57
Last Modified: 28 May 2015 04:15
URI: http://eprints.utem.edu.my/id/eprint/11118
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item