Bristol Robotics Lab

This paper presents the initial research results of Bahia Robotics Team. This is a new research group created to investigate the application of artificial intelligence methods in the standard problem of robotics soccer. In this work, fuzzy controllers are used to improve some abilities of the players. In the case of the attackers, the kick and the positioning ability were improved. The midfielders had their positioning and passing ability improved. The goalkeeper and the defenders had their positioning ability improved. The generated Bahia2D soccer team was tested in matches against some victorious teams from Robocup Brazil Open 2006 and from previous editions of the Robocup World Competition. The positive results achieved and the ongoing works to improve the current limitations are also presented.

This paper presents the initial research results of Bahia Robotics
Team. This is a new research group created to investigate the application of artificial intelligence methods in the standard problem of robotics soccer.
In this work, fuzzy controllers are used to improve some abilities of the players. In the case of the attackers, the kick and the positioning ability were improved. The midfielders had their positioning and passing ability improved. The goalkeeper and the defenders had their positioning ability improved. The generated Bahia2D soccer team was tested in matches against some victorious teams from Robocup Brazil Open 2006 and from previous editions of the Robocup World Competition. The positive results achieved and the ongoing works to improve the current limitations are also presented.

Este artigo apresenta os resultados iniciais do grupo de pesquisa Bahia Robotics Team. Neste trabalho, controladores fuzzy são usados para melhorar algumas habilidades dos jogadores. Para os atacantes, o chute e o posicionamento foram aperfeiçoados. Os meiocampistas tiveram seu posicinamento e tomada de decisões abordados. Goleiro e defensores tiveram o posicionamento tratado. O passe de bola melhorou para todos os jogadores. O time gerado Bahia2D foi testado em partidas contra algumas equipes vitoriosas no Ropocup Brasil Open 2006 e em edições anteriores da competição mundial da Robocup. Apresenta também os resultados positivos obtidos até o momento, bem como os trabalhos em andamento para solucionar problemas que ainda são encontrados.

We show that, given a specific task, a variety of machine learning algorithms can be applied. The approaches are evaluated in terms of performance in a simulated environment and applicability to a real-world task. We argue that no approach performs optimally in all aspects considered.

This paper describes the new tecnology of White-LED, that is sitll not well known to the general public. At first, the concept of wireless network and optic wireless will be shown. Then, how this new tecnology works, as well as its pros and contras. At last, its importance and future expectations will be presented.

This paper presents the initial research from Bahia Robotics Team. This is a new research group created to investigate the application of artificial intelligence methods in the standard problem of robotics soccer. In this work, fuzzy controllers are used to improve some abilities of the players. In the case of the attackers, the kick and the positioning ability were improved. The midfielders had their positioning and passing ability improved. The goalkeeper and the defenders had their positioning ability improved. The generated Bahia2D soccer team was tested in matches against some victorious teams from Robocup Brazil Open 2006 and from previous editions of the Robocup World Competition, validating that fuzzy controllers are a good solution for the robotics soccer. The positive results achieved and the ongoing works to improve the current limitations are also presented.

This paper describes the activities of the research group Bahia Robotics Team (BRT) in preparation of the Bahia-PV team for the Physical Visualization(PV) Sub-League, disputed for the first time in RoboCup 2007 at Atlanta. In this paper we give an overview of this new sub-league, and present the proposal for the architecture and strategies of a robotic soccer team in PV environment. We also present new applications that explores the potentiality of the PV environment.

This article presents the initial results of the research group Bahia Robotics Team in the category of simulated soccer 2D. In this TDP are presented the team's architecture and the techniques of Artificial Intelligence used in the player's skills: controllers fuzzy and neural networks. The team Bahia2D was tested in matches in the Robocup 2007 qualification, obtaining success and being the unique Brazilian team qualified for the world championship in the category of simulated soccer 2D. The results of the preliminary rounds (SSIL -Soccer Simulation Internet League) and of the participation in Robocup 2007 are presented, analyzed and compared, showing the team's evolution in the short space of time among the two competitions. Resumo. Este artigo apresenta os resultados iniciais do grupo de pesquisa Bahia Robotics Team na categoria de futebol simulado 2D. Neste TDP são apresentados a arquitetura do time e as técnicas de Inteligência Artificial utilizadas nas habilidades dos jogadores: controladores fuzzy e redes neurais artificiais. O time Bahia2D foi testado em partidas nas eliminatórias da Robocup 2007, obtendo êxito ao ser o único time brasileiro classificado para o mundial na categoria de futebol simulado 2D. Os resultados das eliminatórias (A SSIL -Soccer Simulation Internet League) e da participação na Robocup 2007 são apresentados, analisados e comparados, mostrando a evolução do time no curto espaço de tempo entre as duas competições.

Team. This is a new research group created to investigate the application of artificial intelligence methods in the standard problem of robotics soccer. In this work, fuzzy controllers are used to improve some abilities of the players. In the case of the attackers, the kick and the positioning ability were improved. The midfielders had their positioning and passing ability improved. The goalkeeper and the defenders had their positioning ability improved. The generated Bahia2D soccer team was tested in matches against some victorious teams from Robocup Brazil Open 2006 and from previous editions of the Robocup World Competition. The positive results achieved and the ongoing works to improve the current limitations are also presented.

This paper describes a research about fuzzy controllers for the positioning of the goalkeeper without the ball in the 2d simulated robot soccer. The goal of this research was to improve the behavior of the goalkeeper, raising the number of catches and decreasing the number of goals, improving its positioning to catch the ball. To validate the research, 30 matches were simulated against some of the best teams of the world that participate of the RoboCup. The achieved results are presented, the conclusions are discussed and future works are suggested.

Whilst the energy efficiency of wheeled vehicles on smooth ground is undeniable, negotiating broken or complex terrain still presents a significant problem. This paper discusses the advances made in producing a legged UGV platform; specifically, we focus on three areas which have been identified as being key to developing a viable solution. These elements are fundamentally coupled as the breakdown of one will result in the failure of the entire system. Thus our guiding design principle of biological inspiration must be grounded with a thorough understanding of the limitations imposed by current mechanical technologies. The autonomous nature of the system therefore identifies weight reduction as a key aspect in the system level decision making process.

Learning by observation is a useful goal for humanoid robots that strive for human-like motion. Over time the movements and actions of these robots are likely to require modification for different scenarios and environments. Therefore being able to 'teach' the robot new tasks and motions without tedious programming is highly useful. The operational space formulation is a highly elegant robot manipulator control method that has parallels with human motion strategies, with prioritization of task achievement and redundant degrees of freedom control via effort optimisation.

A natural extension of current robotic minimally invasive surgery (MIS) is the addition of tactile and kinesthetic feedback, which would give an operating surgeon valuable haptic infonnation about tissue under observation. Identification of haptic properties requires active exploration [1] . It is believed that such exploration may be facilitated by a tool capable of replicating the major exploratory procedures (EPs; haptic information gleaning maneuvers) of a surgeon. Such a tool must also fit within the fabrication and other constraints of similar MIS tools.