B-Human Wins RoboCup World Championship with Advances in Machine Vision & AI

July 10, 2019 Brandon Lewis

At the RoboCup 2019 World Championship in Sydney, Australia (Yes! There is such a thing as the World Cup for robotics!), a team of football robots developed by the University of Bremen and the German Research Center for Artificial Intelligence (DFKI) won the trophy. The “B-Human” team defeated reigning champions HTWK from Leipzig 2-1 in come-from-behind fashion. Both the equalizer and go-ahead goals were scored in the final minutes.

Apart from their victory in the Standard Platform League, B-Human robots also won the Mixed Team Final with Team Berlin United on penalty kicks, 3-2.

The RoboCup World Cup is designed to showcase developments in the fields of artificial intelligence, computer vision, and robotics. The event’s goal is to have games that are as close to human football (soccer in the US) as possible by making playing conditions increasingly difficult. This year, for example, back lights were used, which proved challenging for many team’s deep learning-based vision systems.

However, the robotics platforms and AI algorithms that power them are also becoming increasingly more sophisticated. For example, this year’s B-Human team was based on the NAO V6 design, a new version of robot with significantly more processing power than its predecessor.

Beyond vision, other analog inputs are tested during the game. For instance, the B-Human team demonstrated how one NAO V6 could locate a referee’s whistle while blindfolded.

The B-Human team captured its seventh RoboCup World Championship in Sydney. The team is sponsored by CONTACT Software, a provider of open standard, open source software for the Internet of Things, virtual product models, and digital twins.

More information on the RoboCup World Championships is available at 2019.robocup.org/index.php.

More on B-Human can be found at www.b-human.de.

For more on CONTACT Software, visit www.contact-software.com/en.

About the Author

Brandon Lewis

Brandon Lewis, Editor-in-Chief of Embedded Computing Design, is responsible for guiding the property's content strategy, editorial direction, and engineering community engagement, which includes IoT Design, Automotive Embedded Systems, the Power Page, Industrial AI & Machine Learning, and other publications. As an experienced technical journalist, editor, and reporter with an aptitude for identifying key technologies, products, and market trends in the embedded technology sector, he enjoys covering topics that range from development kits and tools to cyber security and technology business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached by email at brandon.lewis@opensysmedia.com.

Follow on Twitter Follow on Linkedin Visit Website More Content by Brandon Lewis
Previous Article
QuickLogic, SensiML Deliver Edge AI Without A Data Scientist
QuickLogic, SensiML Deliver Edge AI Without A Data Scientist

At Sensors Expo 2019, embedded processor vendor QuickLogic and their subsidiary SensiML were on a mission t...

Next Article
STMicroelectronics’ Automotive Accelerometer Strengthens Security in Remote Key Fobs

ST’s AIS2DW12 helps vehicle owners enjoy greater security without taking extra care of a fragile fob, and w...