Omni-directional catadioptric vision for soccer robots

This paper describes the design of a multi-part mirror catadioptric vision system and its use for self-localization and detection of relevant objects in soccer robots. The mirror and associated algorithms have been used in robots participating in the middle-size league of RoboCup — The World Cup of Soccer Robots.This work was supported by grant PRAXIS XXI BM/21091/99 of the Portuguese Foundation for Science and Technolog

Fun2Mas: The Milan Robocup Team

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Optimization of fast moving robots and implementation of I2C protocol to control electronic devices

This paper briefly describes the main changes in the robots from Minho Team since the last RoboCup. Work has been carried out on the robots in order to constantly improve their capabilities, based on the experiences from previous participations. The main topics to deal in this paper are related with the I2C new communications protocol recently implemented in the robots, a description of the whole electronics system based on a new diagram which contains all the devices used in the robots, the inclusion of new faster motors, a description of the robot game play strategy, some operating system remarks which are related to some requirements of our actual system, and the main conclusions related to the work carried out so far. The use of the I2C protocol forced the team to change all the electronic boards and these were completely redesigned in-house, tested and implemented on the robots.Fundação para a Ciência e a Tecnologia (FCT) - POSI/ROBO/43892/200

Localization of a mobile autonomous robot based on image analysis

This paper introduces an innovative method to solve the problem of self localization of a mobile autonomous robot, and in particular a case study is carried out for robot localization in a RoboCup field environment. The approach here described is completely different from other methods currently used in RoboCup, since it is only based on the use of images and does not involve the use of techniques like Monte Carlo or other probabilistic approaches. This method is simple, acceptably efficient for the purpose it was created, and uses a relatively low computational time to calculate.Fundação para a Ciência e a Tecnologia (FCT) - POSI/ROBO/43892/200

Localization of a mobile autonomous robot based on image analysis

This paper introduces an innovative method to solve the problem of self localization of a mobile autonomous robot, and in particular a case study is carried out for robot localization in a RoboCup field environment. The approach here described is completely different from other methods currently used in RoboCup, since it is only based on the use of images and does not involve the use of techniques like Monte Carlo or other probabilistic approaches. This method is simple, acceptably efficient for the purpose it was created, and uses a relatively low computational time to calculate.Fundação para a Ciência e Tecnologia (FCT) - projecto POSI/ROBO/43892/200

Sistema de navegação e controlo de um AGV por visão artificial

Os veículos auto-guiados têm apresentado um crescimento elevado no número de aplicações. A visão artificial embebida num AGV, substitui o uso de sensores por vezes caros e permite um controlo eficaz. A aquisição de imagem a cores permite a distinção de diversos marcadores, semáforos ou controladores de tráfego. O veículo segue, em tempo real, um trajecto definido por linhas delimitadoras

Vision, kinematics and game strategy in multi-robot systems like MSL RoboCup

In Multi-Robot systems like the RoboCup football challenge, there are a small number of key issues which are of extreme relevance for the successfulness of the final application. In MSL RoboCup these main issues are three: a) The vision system, which has to be as reliable and fast as possible in order to perceive the necessary entities to carry out the game actions; b) Correct kinematics of the robot, that makes the robots move towards the desired goal in the fastest, shortest and optimized away; c) Game strategy, which needs collaboration and communication between all the agents in the field. Other issues are also important but these three consist of the fundamental ones towards the next step in this challenge which is ball pass between the robots in a controlled way. A team of robots will only be able to pass the ball to another robot only when these three issues are sorted out. This paper describes how these three issues were tackled by the MINHO team and shows their next directions

Fast computational processing for mobile robots' self-localization

This paper intends to present a different approach to solve the Self-Localization problem regarding a RoboCup’s Middle Size League game, developed by MINHO team researchers. The method uses white field markings as key points, to compute the position with least error, creating an error-based graphic where the minimum corresponds to the real position, that are computed by comparing the key (line) points with a precomputed set of values for each position. This approach allows a very fast local and global localization calculation, allowing the global localization to be used more often, while driving the estimate to its real value. Differently from the majority of other teams in this league, it was important to come up with a new and improved method to solve the traditional slow Self-Localization problem.This work was developed at the Laboratório de Automação e Robótica by MINHO team´s researching and developing team, at University of Minho, under the supervision of Professor A. Fernando Ribeiro and A. Gil Lopes. The knowledge exchanging between the RoboCup’s MSL teams and community contributed greatly for the development of this work. This work has been supported by COMPETE: POCI-01- 0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio