Problems and solutions in middle size robot soccer: a review

A review of current scientific and technological problems encountered in building and programming middle size soccer robots is made in this paper. Solutions and solution trends to the problems, as presented by different teams, are also examined. Perceptual systems of individual robots, in particular with respect to object location, communications between robot players, decision making with regard to game strategy and behaviour generation, and, finally, actuation, are the topics dealt with. This makes for a wide perspective on the actual state of the art of middle size soccer robots

Robot Football Team from Minho University

This paper describes an Autonomous Mobile Robot team which plays football, developed by the Group of Automation and Robotics at the Industrial Electronics department of the University of Minho, in Guimarães (Portugal). In this competition each team is free to use and/or build all the different electronics, sensory systems, playing algorithms, etc. as far as they cope with the rules imposed by the organisation. Instead of using several different sensors increasing electronics complexity, this team decided to use only one major sensor: a vision system with a small colour camera. All the image processing algorithms were developed from scratch and they consist on the heart of the whole project. This vision system uses an innovative approach: in order to see the whole field, a convex mirror was placed at the top of the robot looking downwards with the video camera looking upwards towards the mirror. This way, the robot can see all around itself with a top view, which means continuous vision of the ball, goals and other robots.(undefined

Direct Manipulation-like Tools for Designing Intelligent Virtual Agents

If intelligent virtual agents are to become widely adopted it is vital that they can be designed using the user friendly graphical tools that are used in other areas of graphics. However, extending this sort of tool to autonomous, interactive behaviour, an area with more in common with artificial intelligence, is not trivial. This paper discusses the issues involved in creating user-friendly design tools for IVAs and proposes an extension of the direct manipulation methodology to IVAs. It also presents an initial implementation of this methodology

Controlling omni-directional Wheels of a MSL RoboCup autonomous mobile robot

Autonomous Mobile Locomotion is of extreme importance in RoboCup robots. Even though in 2050 the robotic team will very likely use legs rather than wheels, at the moment all teams on middle size league use wheels to overcome other problems first. Most teams are using two driving wheels (with one or two cast wheels), four driving wheels and even three driving wheels. The Minho team has been using two driving wheels for the last 5 years (with two caster wheels), but for reaction speed optimization purposes a new approach of three wheels is being developed. This paper deals with the description of such platform, it describes the advantages and also the type of control used

RoboCup: the evolution of a robotic scientific challenge

The RoboCup is a scientific challenge used to foster research in the robotics areas, which main objective consists in developing a robotic football team able to play against a human team in the year 2050. This paper describes the rules of such a competition, the actual state of the art of robotic football players in the middle size league, and describes the main characteristics to take into account in order to build such type of robots. These aspects are described and analysed in terms of further developments.Fundação para a Ciência e a Tecnologia (FCT) - projecto “Development of Robotic Football Team for participation in the RoboCup (Middle Size League)”, POSI/ROBO/43892/2002

VQQL. Applying vector quantization to reinforcement learning

Proceeding of: RoboCup-99: Robot Soccer World Cup III, July 27 to August 6, 1999, Stockholm, SwedenReinforcement learning has proven to be a set of successful techniques for finding optimal policies on uncertain and/or dynamic domains, such as the RoboCup. One of the problems on using such techniques appears with large state and action spaces, as it is the case of input information coming from the Robosoccer simulator. In this paper, we describe a new mechanism for solving the states generalization problem in reinforcement learning algorithms. This clustering mechanism is based on the vector quantization technique for signal analog-to-digital conversion and compression, and on the Generalized Lloyd Algorithm for the design of vector quantizers. Furthermore, we present the VQQL model, that integrates Q-Learning as reinforcement learning technique and vector quantization as state generalization technique. We show some results on applying this model to learning the interception task skill for Robosoccer agents.Publicad

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

Mobile robot competitions: fostering advances in research, development and education in robotics

Mobile robot competitions are events well suited to experimentation, research and development in many areas concerned with science and technology, ranging from material science to artificial intelligence. Aware of this fact, and for several years now, some Portuguese Universities have been involving some of their Engineering and Computer Science students in such contests, namely those of international level. The performance has been improving both in terms of the results and prizes obtained and the increasingly elaborate technical solutions developed by the teams. The importance recognised in these events has led the authors to submit to the Portuguese Government a proposal for an annual Festival of this kind in Portugal. This paper points out the advances in research, technology and education, which result from this type of events

New improvements of MINHO Team for RoboCup middle size league in 2003

Although this research group has started a robotic football team in 1998, MINHO team has been participating in RoboCup only since 1999. The robots were completely developed by the undergraduate team members (mechanics, hardware and software), due to budget reasons, and every year new improvements had been made. The team came to a point where new improvements would mean complete changes in the robot design, hardware and mechanics. Therefore, this year major changes have been implemented. Being all member of an Industrial Electronics department, our main research areas consist of general electronics, computer vision/image processing, and control. In this paper, the major changes implemented are described and some results assessed

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