ΑΙhub.org
 

Standard Platform League ready to kick off at #RoboCup2019


by
03 July 2019



share this:

RoboCup 2019 in Sydney opens to the public tomorrow, but participants have already been preparing onsite for two days. There are fifteen RoboCup leagues that are grouped into five categories — RoboCupSoccer, RoboCupRescue, RoboCup@Home, RoboCupIndustrial and RoboCupJunior — and live coverage on AIHub will touch each league.

However, I’ll personally be covering the Standard Platform League (SPL) with one post per day throughout RoboCup 2019.

I’ve participated in the SPL since 2011 as a part of the University of Texas’ UT Austin Villa team, and have served in many technical and organizational roles with the league. I’m currently serving as an executive member, which means I oversee the work of the technical and organizing committees for the league and consider the longer-range goals and roadmap of the league. Now that you know about me, let’s dive in!

What is the Standard Platform League?

The RoboCup Standard Platform League is a robot soccer league in which all teams participate using the same robot, the NAO robot from SoftBank Robotics. The robots must play fully autonomously — without input from humans — and each one makes decisions individually. But, they can play as a team using visual, verbal or Wi-Fi communications.

NAO robots from rUNSWift (yellow) and B-Human (black) at RoboCup 2019. (Photo by JT Genter)

SPL teams play on a 9 meter by 6 meter green field with white lines and goal posts. The ball is a white and black foam ball that resembles a soccer ball. You can see the 2019 Rulebook here.

A SPL practice game at RoboCup 2019. (Photo by JT Genter)

Until RoboCup 2007, the SPL was named the “Four-Legged League” and used the Sony AIBO as its sole platform. The league adopted the “Standard Platform League” name for RoboCup 2008 when both the Aibo and NAO robots were used, and the name stuck even once the NAO became the league’s sole platform in 2009. See this article for footage from RoboCup competitions in 1997 to 2011.

How to Follow the League

There are 20 teams competing in the SPL at RoboCup 2019. These teams include six teams from Germany, two teams from the United States, a joint team from Australia / Spain and one team from each of the following countries: Australia, Canada, China, Colombia, Italy, Ireland, Japan, The Netherlands, Russia, Switzerland, Taiwan. You can see more about the teams here.

2018 SPL participants.

If you want to follow the SPL at RoboCup 2019, your best source for timely updates will be:

You can see the SPL schedule on the SPL webpage, as well as up-to-date results and rankings. One of the SPL teams, Nao Devils Dortmund, is also hosting live streams of all five SPL fields on their Youtube channel so you can watch the games from home.

How to Get Involved

The SPL is always looking for new teams. Some SPL teams are university student groups while other teams are from university research labs. As such, the league provides the opportunity to do novel research in the RoboCup domain, but the depth of this research varies from team to team.

A practice game at RoboCup 2019. (Photo by JT Genter)

The league is currently creating a “How to Get Started in SPL” guide — but in the meantime, please join the public mailing list to ensure you see the next Call for Participation, see the 2019 Call for Participation to see what the application process usually entails and feel free to email the SPL committees with any questions.



tags:


Katie Genter represents the SPL as a RoboCup Executive member.
Katie Genter represents the SPL as a RoboCup Executive member.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity

  28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.

Towards experiment-guided AlphaFold

Researchers enhance Nobel Prize-winning structural prediction model.

AI listens in to help protect wildlife

  24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

AAAI presidential panel – AI and scientific integrity

  21 Jul 2026
Watch the next panel discussion in this series from AAAI.

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Interactive world simulator for robot policy training and evaluation

  17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence