Autonomous learning of target decision strategies without communications for continuous coordinated cleaning tasks

Keisuke Yoneda, Chihiro Kato, Toshiharu Sugawara

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

10 Citations (Scopus)

Abstract

We propose a method for the autonomous learning of target decision strategies for coordination in the continuous cleaning domain. With ongoing advances in computer and sensor technologies, we can expect robot applications for covering large areas that often require coordinated/cooperative activities by multiple robots. In this paper, we focus the cleaning tasks by multiple robots or by agents, software to control the robots. We assume that agents cannot directly exchange internal information such as plans and targets for coordination, but rather individually learn their target decision strategies by observing how much trash/dirt has been vacuumed up in the multi-agent system environments. We experimentally evaluated the proposed method by comparing its performance with those obtained by the regimes of agents with a single strategy. Results showed that the proposed method enables agents to select target decision strategies from their own perspectives, resulting in the appropriate combinations of multiple strategies.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
PublisherIEEE Computer Society
Pages216-223
Number of pages8
ISBN (Print)9781479929023
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013 - Atlanta, GA, United States
Duration: 2013 Nov 172013 Nov 20

Publication series

NameProceedings - 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
Volume2

Conference

Conference2013 12th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2013
CountryUnited States
CityAtlanta, GA
Period13/11/1713/11/20

Keywords

  • Coordination
  • Learning
  • Multi-robot sweeping
  • Robot patrolling

ASJC Scopus subject areas

  • Artificial Intelligence

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