ΑΙhub.org
 

#RoboCup2019 Standard Platform League Competition Day 3


by
06 July 2019



share this:

The Standard Platform League’s Competition Day 3 at RoboCup 2019 was busy with main competition games, mixed team games and a directional whistle challenge.

Mixed Team Competition

After the SPL ran the drop-in player competition from 2013 to 2015 (see Three Years of the RoboCup Standard Platform League Drop-in Player Competition for a full description of the competition), the league replaced it with the mixed team competition. The mixed teams competition allows two main competition teams to join forces as a single team for mixed team competition games. These mixed team games are played in addition to main competition games.

A mixed team game at RoboCup 2019.

Most teams program their robots to work as part of a pre-specified team. So, mixed teams must make sure they can communicate successfully. Doing so allows the teams to coordinate their positions, behaviors and game state information (such as ball location). Most mixed teams say that the largest benefit of being part of a mixed team is getting to work closely with another SPL team. These teams often share limited amounts of code, but they also allow each team a look into how another team codes and functions.

Directional Whistle Challenge

The intention of the directional whistle challenge is to investigate the possibilities of localizing the point where the referee whistle is blown. For this challenge, each team can choose to use between one and five robots, each of which is placed at a pre-defined spot according to its jersey number.

Pre-defined positions for robots in the directional whistle challenge.

A referee then blows a whistle from eight different locations on and around the field. These locations are the same for all teams, including the orientation of the referee. The team then has up to five seconds after each whistle blow to send a message back to the GameController with an estimate of the position from which the whistle was blown. The full challenge rules, including the scoring metrics, can be found in the challenge document. Results of the challenge can be found on the results page.

Competition Day 3

Competition Day 3 featured more mixed team games, as described above.

A mixed team game at RoboCup 2019.

There were also Intermediate Round games in the Champions Cup. In these games, the second and third place finishers in each second round robin group crossover. The winner of each game moves on to the quarter finals to face a team that finished first in a second round robin group, while the loser is eliminated.

In the late afternoon, there were quarterfinal games in the Champions Cup.

The winners of these games — B-Human, HTWK, Nao Devils and rUNSWift — advanced to the semi-finals (which will be held the next morning).

Quarterfinal SPL game between UT Austin and HTWK on a field with natural lighting.

In the Challenge Shield, second round robin group play completed in the morning and then semi-finals were played between the top two teams in each group. The winners — Starkit and SABANA Herons, both new teams to the league this year — advanced to the Challenge Shield finals (which will be held tomorrow). The losers — NTU RoboPAL and Camellia Dragons — will play in the Challenge Shield third place game.

Looking Toward Championship Day

Championship Day will feature the:

  • Champion’s Cup semi final games, championship game and 3rd place game
  • Challenge Shield championship game and 3rd place game
  • Mixed Team Competition championship game
  • Award ceremony
  • Major Party

If you want to follow the SPL:



tags:


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

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Information-driven design of imaging systems

  23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence