Autonomous learning of ball trapping in the four-legged robot league

Hayato Kobayashi, Tsugutoyo Osaki, Eric Williams, Akira Ishino, Ayumi Shinohara

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

3 Citations (Scopus)

Abstract

This paper describes an autonomous learning method used with real robots in order to acquire ball trapping skills in the four-legged robot league. These skills involve stopping and controlling an oncoming ball and are essential to passing a ball to each other. We first prepare some training equipment and then experiment with only one robot. The robot can use our method to acquire these necessary skills on its own, much in the same way that a human practicing against a wall can learn the proper movements and actions of soccer on his/her own. We also experiment with two robots, and our findings suggest that robots communicating between each other can learn more rapidly than those without any communication.

Original languageEnglish
Title of host publicationRoboCup 2006
Subtitle of host publicationRobot World Soccer Cup X
Pages86-97
Number of pages12
Publication statusPublished - 2007 Dec 1
Event10th RoboCup International Symposium - Bremen, Germany
Duration: 2006 Jun 192006 Jun 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4434 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th RoboCup International Symposium
CountryGermany
CityBremen
Period06/6/1906/6/20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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