Olfactory arm mobile robot for object inspection based on fuzzy logic and support vector machine

Rendyansyah*, Muhammad Rivai, Djoko Purwanto

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In recent years, there have been suspicious objects containing chemical materials intentionally placed on roads, fields and parking lots. The objects are considered harmful to be examined. Therefore, we need tools that can replace people in checking the dangerous objects. Robot is considered as a technology that can be applied to handle it. This study has designed a mobile robot system equipped with robotic arm and electronic nose to inspect the suspected object. The robotic arm is used to bring the electronic nose closer to the object's surface. This robot can find the source of gas and surround the object with a distance of 20 cm. The movement of the mobile robot and robotic arm is controlled using fuzzy logic. The Support Vector Machine method is used to identify gas types. This olfactory arm mobile robot can find a gas source and recognize the type of gas with a success rate of 92%.

Original languageEnglish
Article number12019
JournalJournal of Physics: Conference Series
Volume1196
Issue number1
DOIs
Publication statusPublished - 16 Apr 2019
EventInternational Conference on Information System, Computer Science and Engineering 2018, ICONISCSE 2018 - Palembang, Indonesia
Duration: 26 Nov 201827 Nov 2018

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