Skills, tactics and plays for distributed multi-robot control in adversarial environments

Lotte de Koning, Juan Pablo Mendoza, Manuela Veloso, René van de Molengraft

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

4 Citations (Scopus)

Abstract

This work presents a pioneering collaboration between two robot soccer teams from different RoboCup leagues, the Small Size League (SSL) and the Middle Size League (MSL). In the SSL, research is focused on fast-paced and advanced team play for a centrally-controlled multi-robot team. MSL, on the other hand, focuses on controlling a distributed multi-robot team. The goal of cooperation between these two leagues is to apply teamwork techniques from the SSL, which have been researched and improved for years, in the MSL. In particular, the Skills Tactics and Plays (STP) team coordination architecture, developed for centralized multi-robot team, is studied and integrated into the distributed team in order to improve the level of team play. The STP architecture enables more sophisticated team play in the MSL team by providing a framework for team strategy adaptation as a function of the state of the game. Voting-based approaches are proposed to overcome the challenge of adapting the STP architecture to a distributed system. Empirical evaluation of STP in the MSL team shows a significant improvement in offensive game play when distinguishing several offensive game states and applying appropriate offensive plays.

Original languageEnglish
Title of host publicationRoboCup 2017
Subtitle of host publicationRobot World Cup XXI
EditorsHidehisa Akiyama, Oliver Obst, Claude Sammut, Flavio Tonidandel
PublisherSpringer
Pages277-289
Number of pages13
ISBN (Print)9783030003074
DOIs
Publication statusPublished - 7 Sep 2018
Event21st RoboCup International Symposium, 2017 (Robocup2017) - Nagoya, Japan
Duration: 27 Jul 201731 Jul 2017
https://www.robocup2017.org/eng/index.html

Publication series

NameLecture Notes in Computer Science
Volume11175
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
Volume11175
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st RoboCup International Symposium, 2017 (Robocup2017)
Abbreviated titleRobocup2017
Country/TerritoryJapan
CityNagoya
Period27/07/1731/07/17
Internet address

Keywords

  • Distributed coordination
  • Multi-robot system
  • Robot soccer
  • Team plan execution

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