Visualizing and debugging complex multi-agent soccer scenes in real time

Justin Stoecker, Ubbo Visser

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

Abstract

The RoboCup Soccer environment is one of the most difficult scenarios for autonomous agents. With the potential for so many things to go wrong, debugging and analyzing agents' behaviors becomes a significant task. We propose RoboViz, an open-source program for integrating agent-driven visualizations into a real-time, 3D rendered environment; the scene becomes a shared, interactive whiteboard for all agents, and the user can moderate by filtering drawings they are interested in. Visualization is an effective tool for tracking down errant behaviors and explaining algorithms. RoboViz is embraced by the RoboCup Soccer Simulation 3D sub-league as the de facto monitor application, and the latest revision makes it useful for other leagues as well. We are currently testing RoboViz in the Standard Platform League (SPL).

Original languageEnglish (US)
Title of host publicationRoboCup 2013
Subtitle of host publicationRobot World Cup XVII
PublisherSpringer Verlag
Pages640-647
Number of pages8
ISBN (Print)9783662444672
DOIs
StatePublished - Jan 1 2014
Event17th RoboCup International Symposium, RoboCup 2013 - Eindhoven, Netherlands
Duration: Jul 1 2013Jul 1 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8371 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th RoboCup International Symposium, RoboCup 2013
CountryNetherlands
CityEindhoven
Period7/1/137/1/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Stoecker, J., & Visser, U. (2014). Visualizing and debugging complex multi-agent soccer scenes in real time. In RoboCup 2013: Robot World Cup XVII (pp. 640-647). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8371 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-662-44468-9_60