CIIPS Glory is using a local intelligence approach to solve the task of robot soccer. In this respect our system is much closer to the F-2000 league (mid-size) than other approaches in the F180 (small-size) league. We are using EyeBot controllers, the RoBIOS operating system and the EyeCam digital onboard camera systems (CMOS). Our robot family also comprises 6-legged and biped walking machines...

The main goal of the RAC project is to develop a robotic soccer team for the RoboCup small-size league competitions. This paper is focused on two main issues: omnidirectional drive control design and modelling, and robot design and construction. The robot hardware implementation and design options are presented. Based on the robot kinematic model, a motion controller is designed using trajector...

Formal methods for multi-robot system analysis, especially logicbased methods, operate on discrete models. Optimization methods for simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into account a model of the motion dynamics of the physical robot. In this paper, ongoing work towards a coherent treatment of both...

In this paper we discuss the topic of modeling a moving object in a robot application considering as example the ball movement in a robot soccer environment. The paper focuses on the question of how to estimate the ball velocity reliably even if the ball collides with an obstacle or the observing robot is moving itself. We propose a new estimation algorithm based on a direct estimate using ridg...

This paper describes two major humanoid robotic competitions: the RoboCup Humanoid League and the FIRA HuroCup, which were both introduced in 2002. Even though both competitions have the final goal of creating a team of robots that can compete with humans in a soccer math, the two associations focused on different intermediate goals. RoboCup focused on interesting soccer matches between teams o...

This paper presents the autonomous table soccer robot KiRo. KiRo provides a competitive challenge for even advanced human players and is well suited as a toy or even as a training partner for professional players. Moreover, the table soccer game represents a demanding testbed for evaluating a multitude of techniques and approaches in the fields of robotics and artificial intelligence. KiRo has ...

The idea of robot playing soccer has been developed since early 90s Chen et al. (2003). Soccer environment is a dynamically changing environment which requires individual skill as well as team skill and therefore is an interesting research field on Artificial Intelligence and robotics. Prolog is a programming language that represent logic reasoning. Is is a perfect tool to represent human reaso...

Multi-agent coordination is essential to success in the robot soccer domain. This paper outlines the UQ RoboRoos entry in RoboCup ’98 and provides details of the multi-robot coordination system. The system is based on the superposition of potential fields. A control study shows that the RoboRoos improve their performance by over 100% with the addition of the coordination

Humanoid soccer robots perceive their environment exclusively through cameras. This paper presents a monocular vision system that was originally developed for use in the RoboCup Humanoid League, but is expected to be transferable to other soccer leagues. Recent changes in the Humanoid League rules resulted in a soccer environment with less color coding than in previous years, which makes percep...

This paper proposes a multi-robot coordination architecture for dynamic task, role and behavior selections. The proposed architecture employs the motivation of task, the utility of role, a probabilistic behavior selection and a team strategy for efficient multi-robot coordination. Multiple robots in a team can coordinate with each other by selecting appropriate task, role and behavior in advers...