Network-based subsumption architecture for multiple mobile robots system

Fusaomi Nagata, Akimasa Otsuka, Keigo Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, a unique multiple mobile robots system is proposed to enable students or mechanical engineers to efficiently learn a subsumption architecture for swarm intelligence. The subsumption architecture is known as one of the behaviour-based artificial intelligences. Each of multiple mobile robots has three wheels driven by DC motors and six PSD (Position Sensitive Detector) sensors. A network-based subsumption architecture is considered to realize a schooling behaviour by using only information from the PSD sensors. Further, a server supervisory control is introduced for poor hardware platforms with limitations of software development, i.e., the mobile robots that can only behave based on the most simply subdivided reaction behaviours, i.e., reflex actions, generated from agents. Experimental results show interesting behaviour among the multiple mobile robots, such as following, avoidance and schooling.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages187-192
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: Nov 20 2012Nov 24 2012

Publication series

Name6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Country/TerritoryJapan
CityKobe
Period11/20/1211/24/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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