Towards an Online approach for Knowledge Communication Planning: Extended Abstract

Nikolaos Tsiogkas, David M. Lane

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

Abstract

Explicit coordination among robot usually requires a method to exchange information regarding their intentions and their knowledge of the world. Most of the research found in the multi-robot coordination literature uses ad-hoc approaches for communication. This work is an initial attempt to tackle the communication problem in a generic way. It tries to answer the question of when to communicate, what to communicate and with whom to communicate. It proposes the use of dynamic action sets combined with a Determinized Sparse Partially Observable Tree structure that can address the communication decision problem in an online fashion. Compared with a state-of-the-art approach used for sharing knowledge among robotic teams it shows a constantly better performance.

Original languageEnglish
Title of host publication2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)
PublisherIEEE
Pages142-144
Number of pages3
ISBN (Electronic)9781728128764
DOIs
Publication statusPublished - 14 Nov 2019
Event2nd International Symposium on Multi-Robot and Multi-Agent Systems 2019 - New Brunswick, United States
Duration: 22 Aug 201923 Aug 2019

Conference

Conference2nd International Symposium on Multi-Robot and Multi-Agent Systems 2019
Abbreviated titleMRS 2019
CountryUnited States
CityNew Brunswick
Period22/08/1923/08/19

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

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    Tsiogkas, N., & Lane, D. M. (2019). Towards an Online approach for Knowledge Communication Planning: Extended Abstract. In 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS) (pp. 142-144). IEEE. https://doi.org/10.1109/MRS.2019.8901086