HomeRobotics#RoboCup2024 – each day digest: 21 July

#RoboCup2024 – each day digest: 21 July


A break in play throughout a Small Dimension League match.

In the present day, 21 July, noticed the competitions draw to an in depth in an exciting finale. Within the third and last of our round-up articles, we offer a flavour of the motion from this final day. If you happen to missed them, you’ll find our first two digests right here: 19 July | 20 July.

My first port of name this morning was the Commonplace Platform League, the place Dr Timothy Wiley and Tom Ellis from Crew RedbackBots, RMIT College, Melbourne, Australia, demonstrated an thrilling development that’s distinctive to their workforce. They’ve developed an augmented actuality (AR) system with the intention of enhancing the understanding and explainability of the on-field motion.

The RedbackBots travelling workforce for 2024 (L-to-R: Murray Owens, Sam Griffiths, Tom Ellis, Dr Timothy Wiley, Mark Area, Jasper Avice Demay). Picture credit score: Dr Timothy Wiley.

Timothy, the tutorial chief of the workforce defined: “What our college students proposed on the finish of final 12 months’s competitors, to make a contribution to the league, was to develop an augmented actuality (AR) visualization of what the league calls the workforce communication monitor. It is a piece of software program that will get displayed on the TV screens to the viewers and the referee, and it exhibits you the place the robots suppose they’re, details about the sport, and the place the ball is. We got down to make an AR system of this as a result of we expect it’s so significantly better to view it overlaid on the sector. What the AR lets us do is undertaking all of this data reside on the sector because the robots are shifting.”

The workforce has been demonstrating the system to the league on the occasion, with very constructive suggestions. In reality, one of many groups discovered an error of their software program throughout a recreation while making an attempt out the AR system. Tom mentioned that they’ve obtained lots of concepts and recommendations from the opposite groups for additional developments. This is without doubt one of the first (if not, the primary) AR system to be trialled throughout the competitors, and first time it has been used within the Commonplace Platform League. I used to be fortunate sufficient to get a demo from Tom and it undoubtedly added a brand new degree to the viewing expertise. It is going to be very fascinating to see how the system evolves.

Mark Area establishing the MetaQuest3 to make use of the augmented actuality system. Picture credit score: Dr Timothy Wiley.

From the primary soccer space I headed to the RoboCupJunior zone, the place Rui Baptista, an Govt Committee member, gave me a tour of the arenas and launched me to among the groups which have been utilizing machine studying fashions to help their robots. RoboCupJunior is a contest for college youngsters, and is cut up into three leagues: Soccer, Rescue and OnStage.

I first caught up with 4 groups from the Rescue league. Robots determine “victims” inside re-created catastrophe situations, various in complexity from line-following on a flat floor to negotiating paths via obstacles on uneven terrain. There are three completely different strands to the league: 1) Rescue Line, the place robots comply with a black line which leads them to a sufferer, 2) Rescue Maze, the place robots want to research a maze and determine victims, 3) Rescue Simulation, which is a simulated model of the maze competitors.

Crew Skollska Knijgia, participating within the Rescue Line, used a YOLO v8 neural community to detect victims within the evacuation zone. They skilled the community themselves with about 5000 pictures. Additionally competing within the Rescue Line occasion have been Crew Overengeniering2. In addition they used YOLO v8 neural networks, on this case for 2 components of their system. They used the primary mannequin to detect victims within the evacuation zone and to detect the partitions. Their second mannequin is utilized throughout line following, and permits the robotic to detect when the black line (used for almost all of the duty) adjustments to a silver line, which signifies the doorway of the evacuation zone.

Left: Crew Skollska Knijgia. Proper: Crew Overengeniering2.

Crew Tanorobo! have been participating within the maze competitors. In addition they used a machine studying mannequin for sufferer detection, coaching on 3000 photographs for every kind of sufferer (these are denoted by completely different letters within the maze). In addition they took photographs of partitions and obstacles, to keep away from mis-classification. Crew New Aje have been participating within the simulation contest. They used a graphical person interface to coach their machine studying mannequin, and to debug their navigation algorithms. They’ve three completely different algorithms for navigation, with various computational value, which they’ll change between relying on the place (and complexity) within the maze through which they’re situated.

Left: Crew Tanorobo! Proper: Crew New Aje.

I met two of the groups who had not too long ago offered within the OnStage occasion. Crew Medic’s efficiency was primarily based on a medical situation, with the workforce together with two machine studying components. The primary being voice recognition, for communication with the “affected person” robots, and the second being picture recognition to categorise x-rays. Crew Jam Session’s robotic reads in American signal language symbols and makes use of them to play a piano. They used the MediaPipe detection algorithm to search out completely different factors on the hand, and random forest classifiers to find out which image was being displayed.

Left: Crew Medic Bot Proper: Crew Jam Session.

Subsequent cease was the humanoid league the place the ultimate match was in progress. The world was packed to the rafters with crowds desirous to see the motion.
Standing room solely to see the Grownup Dimension Humanoids.

The finals continued with the Center Dimension League, with the house workforce Tech United Eindhoven beating BigHeroX by a convincing 6-1 scoreline. You possibly can watch the livestream of the ultimate day’s motion right here.

The grand finale featured the winners of the Center Dimension League (Tech United Eindhoven) towards 5 RoboCup trustees. The people ran out 5-2 winners, their superior passing and motion an excessive amount of for Tech United.




AIhub
is a non-profit devoted to connecting the AI neighborhood to the general public by offering free, high-quality data in AI.


AIhub
is a non-profit devoted to connecting the AI neighborhood to the general public by offering free, high-quality data in AI.



Lucy Smith
is Managing Editor for AIhub.

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