Parallel cascade fuzzy inference system at the environment changes, case study: Automated guide vehicle robot using ultrasonic sensor

Adi Wibowo, Sutikno, Kushartantya, Helmie Arif Wibawa, Ari Wibisono

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Problems of environmental change often causes a system failure on a robot control. It occurs because the system is not capable of adapting to it problem. This paper presents a new design architecture of the Parallel Cascade Fuzzy Inference System as a solution to cope with the uncertainty of environmental change and applied on a case study of an Automated Guide Vehicle (AGV) Robot with ultrasonic sensors. In this systems, there are two systems, namely, Environment Change System and Control System. Parallel Cascade Fuzzy Inference System was tested in a simulated of different road scenario and continued to implementation of the Lego robot. From the results obtained, prove that the system is capable of adapting to the environmental change for the case study (AGV).

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages319-324
Number of pages6
Publication statusPublished - 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
Country/TerritoryIndonesia
CityDepok
Period1/12/122/12/12

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