Vision-Based Machine Learning in Robot Soccer

J.J. Olthuis, N.B. van der Meer, S.T. Kempers, C.A. van Hoof, R.M. Beumer, W.J.P. Kuijpers, A.A. Kokkelmans, Wouter Houtman, J.J.F.J. van Eijck, J.J. Kon, A.T.A. Peijnenburg, M.J.G. van de Molengraft

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Downloads (Pure)

Samenvatting

Robots need to perceive their environment in order to properly interact with it. In the RoboCup Soccer Middle Size League (MSL) this happens primarily through cameras mounted on the robots. Machine Learning can be used to extract relevant features from camera imagery. The real-time analysis of camera data is a challenge for both traditional and Machine Learning algorithms, since all computations in the MSL have to be performed on the robot itself.
This contribution shows that it is possible to process camera imagery in real-time using Machine Learning. It does this by presenting the current state of Machine Learning in MSL and providing two examples that won the Scientific and Technical Challenges at RoboCup 2021. Both examples focus on semantic detection of objects and humans in imagery. The Scientific Challenge winner presents how YOLOv5 can be used for object detection in the MSL. The Technical Challenge winner demonstrates how to improve interaction between robots and humans in soccer using OpenPose. This contributes towards the goal of RoboCup to arrive at robots that can beat the human soccer world champion by 2050.
Originele taal-2Engels
TitelRoboCup 2021
SubtitelRobot World Cup XXIV
RedacteurenRachid Alami, Joydeep Biswas, Maya Cakmak, Oliver Obst
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk27
Pagina's327-339
Aantal pagina's13
ISBN van elektronische versie978-3-030-98682-7
ISBN van geprinte versie978-3-030-98681-0
DOI's
StatusGepubliceerd - 2022
Evenement24th RoboCup International Symposium, RoboCup 2021 - Sydney, Australië
Duur: 22 jun. 202128 jun. 2021
Congresnummer: 24
https://2021.robocup.org/

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13132 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres24th RoboCup International Symposium, RoboCup 2021
Verkorte titelRoboCup 2021
Land/RegioAustralië
StadSydney
Periode22/06/2128/06/21
Internet adres

Vingerafdruk

Duik in de onderzoeksthema's van 'Vision-Based Machine Learning in Robot Soccer'. Samen vormen ze een unieke vingerafdruk.

Citeer dit