This paper describes the use of foveated imaging and virtual saccades to identify visual objects using both colour and edge features. Vision processing is a resource hungry operation at the best of times. When the demands require robust, real-time performance with a limited embedded processor, the challenge is significant. Our domain of application is the RoboCup Standard Platform League soccer...

We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte Carlo Localization when the robot is lost. The new algorithm is robust to modelling errors including unmodelled movements and systematic errors. The algorithm can be used in real time on systems with limited computati...

Robot soccer competition provides an excellent opportunity for robotics research. In particular, robot players in a soccer game must perform real-time visual recognition, navigate in a dynamic field, track moving objects, collaborate with teammates, and hit the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creature...

RoboCup competitions were first proposed by Mackworth in 1993. The main goal of this scientific competition is to exploit, improve and integrate the methods and techniques from robotics, machine vision and artificial intelligence (AI) disciplines to create an autonomous team of soccer playing robots. At the time of preparing this chapter, RoboCup is organized in several different leagues includ...

Games and Conferences, was held at the Fifteenth International Joint Conference on Artificial Intelligence. There were two leagues: (1) real robot and (2) simulation. Ten teams participated in the realrobot league and 29 teams in the simulation league. Over 150 researchers attended the technical workshop. The world champions are CMUNITED (Carnegie Mellon University) for the small-size league, D...

Reinforcement learning is an active research area with a vast number of applications in robotics, and the RoboCup competition interesting environment for studying evaluating reinforcement methods. A known difficulty applying to robotics high experience samples required, being use simulated environments training agents followed by transfer real-world (sim-to-real) viable path. This article intro...

full integration of AI and robotics research. Following the success of the first RoboCup in 1997 at Nagoya (Kitano 1998; Noda et al. 1998) and the second RoboCup in Paris in 1998 (Asada et al. 2000; Asada and Kitano 1999), the Third Robot World Cup Soccer Games and Conferences, RoboCup-99, were held in Stockholm from 27 July to 4 August 1999 in conjunction with the Sixteenth International Joint...

Robotic soccer is a challenging research area, which involves multiple agents that need to collaborate in an adversarial environment to achieve specific objectives. Here we describe the Sharif CESR small robot team, which was participated in Robocup 2001 small size league in Seattle, USA. This paper explains the overall architecture of our robotic soccer system. Figure 1 shows a picture of our ...

There is a big difference between Simulation League and Middle Size League in RoboCup, that is, a program written for the former can not be easily transferred to the latter. Since the final aim is real robotics, in this paper we suggest a new match for RoboCup Soccer which can fill this gap. We designed and implemented a Modeled Robot Soccer Server most like Middle Size RoboCup that contains a ...

From 2008 on, the RoboCup competitions are going to host four distinct humanoid robot soccer leagues: the Standard Platform League (using the Nao robot of Aldebaran Robotics), the KidSize League (custom robots smaller than 60cm), the 3D Soccer Simulation League, and the TeenSize League (custom robots larger than 100cm). Currently, each of these leagues defines their own rule framework and resea...