Cooperative Multi-agent on Head Yaw of Humanoid Robot Using Consensus

Arif Nugroho, Eko M. Yuniarno, Mauridhi H. Purnomo

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

Abstract

This paper presents the comparison between 2-proposed graph topologies. In this concern, each proposed graph topology consists of 3-nodes that represent a number of humanoid robots and 3-edges representing information exchange among robots. Two proposed graph topologies have been implemented on head yaw of humanoid robots. From the experimental results, two proposed graph topologies have been successfully applied to reach consensus. But, each proposed graph topology has different characteristic. The cyclic graph topology is similar to unsupervised learning characteristic because this topology cannot ensure where the consensus value will be achieved. Meanwhile, non-cyclic graph topology has the same characteristic as supervised learning where consensus value can be reached based on the predefined target value.

Original languageEnglish
Title of host publication2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages240-244
Number of pages5
ISBN (Electronic)9781538675090
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia
Duration: 26 Nov 201827 Nov 2018

Publication series

Name2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

Conference

Conference2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/TerritoryIndonesia
CitySurabaya
Period26/11/1827/11/18

Keywords

  • Consensus
  • cyclic graph topology
  • headyaw
  • non-cyclic graph topology
  • supervised learning
  • unsupervised learning

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