Intelligent Soccer Team Gustavo Armagno Facundo Benavides Claudia Rostagnol

Agenda Introduction Who we are Background RoboSoccer Motivation Leagues Our Project Research Future steps and expectations FIbRA | Brazil Agents School | 20052

Agenda Introduction Who we are Background RoboSoccer Motivation Leagues Our Project Research Future steps and expectations FIbRA | Brazil Agents School | 20053

Introduction Faculty of Engineering, University of Republic of Uruguay Computer Engineering, final thesis: FIbRA Team FIbRA | Brazil Agents School | Who we are

Robot Vision (2003) Low cost construction of robots (2003) Robots Behaviour (2003) FRUTo Team Low cost construction of biped robots (2004) FIbRA | Brazil Agents School | Introduction Background

Agenda Introduction Who we are Background RoboSoccer Motivation Leagues Our Project Research Future steps and expectations FIbRA | Brazil Agents School | 20056

Many of the researches in robotics were inspired on solving social and industrial problems. There are unhealthy tasks in which robots are more suitable than humans. In some cases, life is in risk or tasks must be done in inaccessible places. RoboSoccer (Robot Soccer) initiative gives a good arena for multi-agent research, dealing with research subjects such as cooperation protocol by distributed control, effective communication and fault tolerance, while having efficiency in cooperation, adaptation, robustness and being in real-time. FIbRA | Brazil Agents School | RoboSoccer Motivation

FIRA –Official website –Acronym of Federation of International RoboSoccer Association –Beginning Began in 1995 and the first international championship was held at KAIST, Daejeon, Korea in 1996 –Objectives To promote the development of autonomous multi-agent robotic system that can cooperate with each other and contribute to the state-of-the-art technology improvement in this specialized field. FIbRA | Brazil Agents School | RoboSoccer Leagues

FIRA leagues –HuroSot (Humanoid Robot World Cup Soccer Tournament) Humanoid two-legged robots –KheperaSot Each team consists of one robot player and up to two human team members. Fully autonomous robots with on board vision system. FIbRA | Brazil Agents School | RoboSoccer Leagues

FIRA leagues –MiroSot (Micro Robot World Cup Soccer Tournament) Each team consists of three robots. One host computer per team controls vision processing and other identified location. –NaroSot Similar to MiroSot but played with five smaller robots per team. FIbRA | Brazil Agents School | RoboSoccer Leagues

FIRA leagues –RoboSot Each team consists of one to three robots. The robots can be fully or semi- autonomous. –SimuroSot Simulated league. Consists of a server which has the soccer game environment and two client programs with the game strategies. FIbRA | Brazil Agents School | RoboSoccer Leagues

RoboCup –Official website –What is RoboCup? International joint project to integrate and promote AI and robotic research by providing a standard problem, robot soccer. Long-term goal: by 2050, develop a team of fully autonomous humanoid robots that can beat the human soccer world champion team. –Differences between FIRA and RoboCup One of the most important difference between FIRA and RoboCup´s simulated leagues is related to the robot perception. FIRA robots have a global vision system while RoboCup robots have a local vision system into each robot. FIbRA | Brazil Agents School | RoboSoccer Leagues

Agenda Introduction Who we are Backgrounds RoboSoccer Motivation Leagues Our Project Research Future steps and expectations FIbRA | Brazil Agents School |

FRUTo project FRUTo project is our narrowest antecedent in RoboSoccer. FRUTo team has participated in CAFR regional championship obtaining good and auspicious results taking into account that it was the first experience in this area in Uruguay. FRUTo project sorted out most of the low-level behaviour issues of a RoboSoccer team. FIbRA | Brazil Agents School | Our Project Research

FIbRA project –FIbRA project main goal is to improve the high-level behaviour in order to achieve a well cooperative behaved team, using Artificial Intelligence in the team strategy. –Nowadays we are studying some machine learning techniques like Artificial Neural Network (ANN), Reinforcement Learning (RL) and Genetic Programming (GP). –Although, this techniques can help us with the strategy, there are other aspects related with communication and collaboration that can be sorted out using an Agent Oriented Architecture. –We are studying articles about Animal Societies behaviour that have inspired researchers to find out solutions for the making decision problem. FIbRA | Brazil Agents School | Our Project Research

Prototypes –Develop small prototypes to learn the techniques mentioned before and choose the appropriated ones to be applied to the final solution. Objectives –Develop a competitive intelligent RoboSoccer team capable of participate in international championships on SimuroSot League. –Gain experience in the use of AI techniques. FIbRA | Brazil Agents School | Our Project Future steps and expectations

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