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Soccer Robots


Segafredo Zanetti launches unmanned Robocup Café in Shenzhen, China

#artificialintelligence

MILAN – Massimo Zanetti Beverage Group is pleased to announce the launch of its first unmanned twenty-four hour self-service Robocup robotic café in Shenzhen, a city known as the hub for Artificial Intelligence and Information Technology in China. This unique café delivers a fully automated coffee experience where customers can order their coffee – either on a large touch screen menu or through a mobile device. This innovative robotic-driven café marks a milestone for Segafredo Zanetti as the first Italian coffee brand to offer freshly brewed hot and cold coffee via a fully automated operating system, complete with a cup lid covering system in an enclosed environment for food safety. The project was made possible thanks to the special partnership of Robocup China. Supported by e-payment systems and a QR Code drink collection system, customers can now enjoy an authentic Italian coffee any time of the day at their convenience.


Virtual humanoid RoboCup workshops

AIHub

The 24th edition of RoboCup, due to take place in Bordeaux in late June, has been postponed until 2021. Obviously an event which centres on soccer matches between opposing teams of robots is something that cannot be recreated online. However, keen to do something in place of the annual extravaganza, the organisers laid on a virtual workshop for the RoboCup humanoid community. This provided a venue for teams to present updates, discuss ideas and solve problems. The workshop took place from 25 to 28 June and included presentations, workshops and lightning talks.


Namira Soccer 2D Simulation Team Description Paper 2020

arXiv.org Artificial Intelligence

Soccer 2D Simulation league is one the first robotic leagues in RoboCup Competitions which is a great environment for researchers to invent and apply intelligent algorithms and compete with the best researchers in the field [3]. Numerous teams participate in the WorldCup competition annually which has almost 40 major and junior leagues including simulation and real environments. Moreover, Soccer 2D Simulation league has participants from varied countries and universities. From the most famous teams we can mention Helios [4], Cyrus [5][6], Gliders [7], FRA-UNIted [8], Namira [9], and Razi [10] that have multiple titles in different RoboCup competitions. Namira 2D Soccer Simulation team consists of current and previous students of Shiraz University and Qazvin Islamic Azad University (QIAU). Some of the members were previously working as a team in Shiraz [11] and Persian Gulf 2D Soccer Simulation Teams [12] in World Cup 2016 and 2017 and some recently added students who study Software & Hardware Engineering at Shiraz University and QIAU.


Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World

arXiv.org Artificial Intelligence

This work presents an application of Reinforcement Learning (RL) for the complete control of real soccer robots of the IEEE Very Small Size Soccer (VSSS) [1], a traditional league in the Latin American Robotics Competition (LARC). In the VSSS league, two teams of three small robots play against each other. We propose a simulated environment in which continuous or discrete control policies can be trained, and a Sim-to-Real method to allow using the obtained policies to control a robot in the real world. The results show that the learned policies display a broad repertoire of behaviors which are difficult to specify by hand. This approach, called VSSS-RL, was able to beat the human-designed policy for the striker of the team ranked 3rd place in the 2018 LARC, in 1-vs-1 matches.


Sony Envisions an AI-Fueled World, From Kitchen Bots to Games

#artificialintelligence

In 1997, Hiroaki Kitano, a research scientist at Sony, helped organize the first Robocup, a robot soccer tournament that attracted teams of robotics and artificial intelligence researchers to compete in the picturesque city of Nagoya, Japan. At the start of the first day, two teams of robots took to the pitch. As the machines twitched and surveyed their surroundings, a reporter asked Kitano when the match would begin. "I told him it started five minutes ago!" he says with a laugh. Such was the state of AI and robotics at the time.


Robo-soccer? C'mon, Man!

#artificialintelligence

"People think footballers are all like robots. We can control everything on the pitch. But your heart is beating 200 times a minute. "Jaw-dropping" is a word I deplore. Yet, I came close to muffing a mandible when I encountered stories about a bunch of electronics engineers -- clearly with too much time on their hands -- working feverishly on "the development of robotic soccer players which can beat a human World Cup champion team." According to an explanation of this eccentric dream, "the idea of robots playing soccer was first mentioned by Professor Alan Mackworth" of the University of British Columbia in the early 1990s. Accessing the World RoboCup website, I discovered that a fair amount of money went into studying the "financial feasibility" and "social impact" of lightning-fast, cat-quick robo-soccer teams humiliating the Germans, Brazilians and British hooligans at, say, the 2026 World Cup. The "researchers concluded that the project was feasible and desirable."


Before they inevitably revolt, watch a bunch of tiny robots play soccer

#artificialintelligence

If you've ever wondered what the robot apocalypse would look like, look no further than what unfolded on the lawn outside of MIT's Building 10 this week. There, on the grassy Killian Court, a spectacle unfolded that will likely become commonplace once AI-powered robots rise up and enslave their human masters. A total of nine of MIT's "Mini Cheetah" bots took to the leaf-littered lawn to play a bit of soccer. If you can ignore the intense fear building up in your gut right now, the whole thing is actually kind of adorable. The impromptu event is documented in a number of videos from onlookers that were then published to Twitter.


#SciRocChallenge tests robots in a realistic smart shopping environment

Robohub

The European Robotics League, funded by the European Commission to advance research, development and innovation in robotics and artificial intelligence, is the umbrella for three robotics competitions: ERL Consumer, ERL Emergency and ERL Professional service robots. All three leagues meet every two years in the ERL Smart Cities Robotics Challenge, showcasing how real robots can make our lives better in urban environments. The Challenge The SciRoc challenge will be held in the smart shopping mall of the Centre:MK. The challenge focuses on smart shopping and is divided into a series of episodes, each consisting of a task to be performed addressing specific research challenges. In order to accomplish their tasks, robots will have to cooperate with the simulated digital infrastructure of a smart shopping mall.


Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing

arXiv.org Artificial Intelligence

Fractals2019 started as a new experimental entry in the RoboCup Soccer 2D Simulation League, based on Gliders2d code base, and advanced to a team winning RoboCup-2019 championship. Our approach is centred on combinatorial optimisation methods, within the framework of Guided Self-Organisation (GSO), with the search guided by local constraints. We present examples of several tactical tasks based on the fully released Gliders2d code (version v2), including the search for an optimal assignment of heterogeneous player types, as well as blocking behaviours, offside trap, and attacking formations. We propose a new method, Dynamic Constraint Annealing, for solving dynamic constraint satisfaction problems, and apply it to optimise thermodynamic potential of collective behaviours, under dynamically induced constraints. 1 Introduction The RoboCup Soccer 2D Simulation League provides a rich dynamic environment, facilitated by the RoboCup Soccer Simulator (RCSS), aimed to test advances in decentralised collective behaviours of autonomous agents. The challenges include concurrent adversarial actions, computational nondetermin-ism, noise and latency in asynchronous perception and actuation, and limited processing time [1-9]. Over the years the progress of the League has been supported by several important base code releases, covering both low-level skills and standardised world models of simulated agents [10-13]. The release in 2010 of the base code of HELIOS team, agent2d-3.0.0, later upgraded to agent2d-3.1.1,


Keeping Up with Robotics Trends Through RoboCup

#artificialintelligence

In March 2017, I joined the MathWorks Student Competitions team to focus on supporting university-level robotics competitions. The competition I spend most time with is RoboCup, which is great because RoboCup contains a variety of leagues and skill levels that keeps me sharp with almost everything going on in the field. Today I will talk about my experience in this role, and what it's been like returning to robotics and academia after more than 5 years away from the field. Let me start with a personal history lesson about my experience in robotics. I am a mechanical engineer with a background in controls, dynamics, and systems.