Welcome

B-Human is currently one of the best teams in the RoboCup Standard Platform League and won the world championship eleven times as well as fourteen regional championships. It is a collegiate project at the Department of Computer Science of the University of Bremen and the DFKI research area Cyber-Physical Systems.

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About B-Human

B-Human is a collegiate project at the Department of Computer Science of the University of Bremen and the DFKI research department Cyber-Physical Systems. The goal of the project is to develop suitable software in order to participate in several RoboCup events and also to motivate students for an academic career. Our team consists of students and researchers from the University of Bremen and the DFKI. The RoboCup is a fascinating combination of innovative research and the most popular team sport. We participated in the Humanoid League until we entered the Standard Platform League in 2008. Since then, we participated in the German Open, in the European Open, and in the RoboCup world championships.


Our Achievements

B-Human is currently one of the best teams in the RoboCup Standard Platform League and won the world championship eleven times as well as fourteen regional championships. Our work is not only for fun but also covers serious research topics. Our team is dependent on financial support of sponsors in order to keep our work alive and being able to take part in further international competitions. If you are interested in supporting us, please visit our sponsoring page for more information.

RoboCup World Championship

Regionals

Year

Location

Place

Competition

Place

2009 Graz, Austria
German Open, Hannover
2010 Singapore, Singapore
German Open, Magdeburg
2011 Istanbul, Turkey
German Open, Magdeburg
2012 Mexico City, Mexico
German Open, Magdeburg
2013 Eindhoven, Netherlands
German Open, Magdeburg
2014 João Pessoa, Brazil
German Open, Magdeburg
2015 Hefei, China
German Open, Magdeburg
2016 Leipzig, Germany
European Open, Eindhoven
2017 Nagoya, Japan
German Open, Magdeburg
2018 Montréal, Canada
German Open, Magdeburg
2019 Sydney, Australia
German Open, Magdeburg
2021 Worldwide
German Open Replacement Event, Dortmund and Bremen
2022 Bangkok, Thailand
German Open Replacement Event, Hamburg
2023 Bordeaux, France
German Open Replacement Event, Hamburg
2024 Eindhoven, Netherlands
German Open, Kassel

Summary

11 x
  3 x
  1 x
14 x
  1 x

Dwarfs reaching for the Stars

Shot and... Goal! Cheering outside the field. Surprisingly, it's not proud parents of young football players cheering. A dozen of knee-high robots are playing football against each other. What was that? Foul! One of the plastic buddies is going down with a stoic innocent look. It is comical to watch. But what's behind all this: a lot of work and many years of research that have gone into it. Scientists are trying to follow the humans' example.

Exactly there lies the appeal. Human beings learn to orientate themselves and to move throughout their entire life. Teaching a robot these skills is a highly demanding task. Everything that is normal to us - let it be recognizing the ball or moving one foot after the other - is absolutely not trivial for a bundle of cameras, motors, and circuits. Again and again we realize through the work with robots how complex these events are and about the limits of technology.

The robots' tasks are diverse. First of all, they need to orientate themselves in their surrounding to know where the goals are and in which one they have to shoot the ball. Many clues are being analyzed, e.g. the field's lines. If one player is unsure where he is, they all communicate among each other. It is even possible to change one player's mind. While the goal is clear, they also have to figure out the way. A robot constantly has to decide between several options: Which way do I take? When shall I shoot? Decisions that highly influence the result of the game.

Developments in this field of research are terrific, fast and exciting. And they can be observed by spectators. From bachelor students to graduate students studying for a doctorate, there are many topics: reaching from the recognition of objects to balanced movements. Success and results can be seen and measured at competitions that regularly take place at exhibitions and fairs - they definitely are a crowd puller.

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