Multi-locomotion robot function analysis based on adaptive morphology methodology

Son Kuswadi, Nasyir Tamara, Dzikri Sahanas, Mohammad Nuh

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

Abstract

This paper discusses the analysis of functions for multi locomotion robots based on adaptive morphology methodology. The developed robot disasters have multi mobility, which has the ability to fly and crawl on land. This robot is called has the adaptive morphology ability, because it has more than one mobility, depending on the desired task to be done. The desired mobility i.e. flying to observe the landscape of disaster area; and then crawling toward the disaster area, which is usually narrow and irregular. To design the robot with the desired mobility then the function analysis was conducted. The way of assessment of each solution is very subjective and based on common sense. However, the common sense here only possible with the proper engineering consideration and experiences. Implementation issues regarding both fly and crawl mobility are also discussed.

Original languageEnglish
Title of host publicationProceedings IES-ETA 2017 - International Electronics Symposium on Engineering Technology and Applications
EditorsAhmad Zainudin, Desy Intan Permatasari, Hendy Briantoro, M. Udin Harun Al Rasyid, Muhammad Febrian Ardiansyah
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-275
Number of pages6
ISBN (Electronic)9781538607121
DOIs
Publication statusPublished - 26 Dec 2017
Event18th International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2017 - Surabaya, Indonesia
Duration: 26 Sept 201727 Sept 2017

Publication series

NameProceedings IES-ETA 2017 - International Electronics Symposium on Engineering Technology and Applications
Volume2017-December

Conference

Conference18th International Electronics Symposium on Engineering Technology and Applications, IES-ETA 2017
Country/TerritoryIndonesia
CitySurabaya
Period26/09/1727/09/17

Keywords

  • adaptive morphology
  • disaster robotics
  • function analysys
  • multi locomotion

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