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Now that the Dutch national football team is out of the FIFA World Cup, fans looking for another team in orange can turn their attention to… robots. From 2 July to 5 July, the student team whIRLwind Amsterdam from the University of Amsterdam (UvA) is competing at RoboCup 2026 in Incheon, South Korea. Set your alarm for Thursday 2 July at 4:45 CET (11:45 in Incheon) and follow their first match against the team from Melbourne, Australia via a live stream.

A global arena for intelligent machines

RoboCup is the world championship for robot football. Teams of fully autonomous robots – no joysticks, no remote control – play real matches against each other. RoboCup has a bold long‑term ambition: by around mid‑century, a robot team should be able to beat the human World Cup winners. In practice, RoboCup has become a large international laboratory for artificial intelligence (AI) and robotics. Students, researchers and companies share software, datasets and insights, openly exchange methods, publish research and test new ideas under match pressure.

At the UvA, we excel in AI at a theoretical level, in contrast to the many technical universities that are more at home with hardware. We therefore hope to win with our robust AI models, trained using the knowledge we have acquired during our studies. Julia de Vries, Secretary Team whIRLwind Amsterdam

whIRLwind Amsterdam: UvA’s student robotics squad

Team whIRLwind Amsterdam consists of 15 Bachelor’s and Master’s students in Artificial Intelligence and Computer Science, supported by UvA staff. Half the team is present in Incheon, the rest supports the team from Amsterdam. The team competes in the Humanoid Soccer League’s middle‑size division, using Booster K1 robots: roughly 95‑centimetre‑tall humanoid machines weighing about 20 kilos, equipped with depth cameras (for 3D vision), motion sensors and an onboard computer comparable to a powerful laptop. They will compete against 18 teams from countries such as Germany, Ireland, Korea, Japan, China, Canada, and USA.

8 members of the whIRLwind team in Incheon, South Korea
8 members of the whIRLwind team in Incheon, South Korea

Training robot strikers with rewards

Almost all of the ‘football intelligence’ in these robots is learned rather than hard‑coded. The team relies heavily on reinforcement learning: an AI technique in which software improves by trial and error, receiving rewards for good actions and penalties for bad ones – similar to how a pet learns cetrain behaviour through rewards. In simulation, the robots practise walking, kicking, goalkeeping and searching for the ball millions of times before those skills are transferred to the real robot on the field.

Support Team whIRLwind

Support the students and watch their matches via the live stream on Twitch or Youtube.
Take a look at the schedule of the matches.