RoboCup is an international initiative to foster interdisciplinary research and education in robotics, artificial intelligence, computer science, and engineering. We focus on the challenges of multi-robot systems, where robots cooperate with each other and when needed with humans to achieve goals in complex and uncertain environments, such as robot soccer, as RoboCupSoccer, robot rescue, as Rob...

We investigate teams of complete autonomous agents that can collaborate towards achieving precise objectives in an adversarial dynamic environment. We have pursued this work in the context of robotic soccer both in simulation and with real physical robots. We brieey present these two frameworks emphasizing their diierent technical challenges. Creating eeective members of a team is a challenging...

Robot soccer is a standard problem used in Artiicial Intelligence for research on cooperating autonomous robots. This paper shows that simulation of robot soccer also is an excellent application for studying interactive and collaborative visualization. We have implemented a prototype robot soccer application that simulates a soccer match in real time and allows humans to interact with it in var...

Visual perception is the most important method for providing information about the competition environment for RoboCup Middle Size League (MSL) soccer robots. The paper reviews the advancement of visual perception in RoboCup MSL soccer robots from several points of view including the design and calibration of the vision system, the visual object recognitio...

Selecting an optimal position for each soccer robot to move to in a robot football game is a challenging and complex task since the environment and robot motion are so dynamic and unpredictable. This paper provides an overview of behaviour-based position selection schemes used by Essex Wizards’99 simulated soccer team, a third place in RoboCup’99 simulator league at Stockholm. The focus concent...

Self-localization is important in almost all robotic tasks. For playing an aesthetic and effective game of robotic soccer, self-localization is a necessary prerequisite. When we designed our robotic soccer team for RoboCup’98, it turned out that all existing approaches did not meet our requirements of being fast, accurate, and robust. For this reason, we developed a new method, which is present...

Self-localization is important in almost all robotic tasks. For playing an aesthetic and eeective game of robotic soccer, self-localization is a necessary prerequisite. When we designed our robotic soccer team for RoboCup'98, it turned out that all existing approaches did not meet our requirements of being fast, accurate, and robust. For this reason, we developed a new method, which is presente...

RoboCup is no longer just the Soccer World Cup for autonomous robots but has evolved to become a coordinated initiative encompassing four different robotics events: (1) Soccer, (2) Rescue, (3) Junior (focused on education), and (4) a Scientific Symposium. RoboCup-2003 took place from 2 to 11 July 2003 in Padua (Italy); it was colocated with other scientific events in the field of AI and robotic...

This paper describes the humanoid robot Toni that has been designed to play soccer in the RoboCup Humanoid League. The paper details Toni’s mechanical and electrical design, perception, self localization, behavior control, and infrastructure. Toni is fully autonomous, has a low weight (2.2kg), and is much taller (74cm) than most servo-driven humanoid robots. It has a wide field of view camera, ...

In this paper a new robot is presented which was designed especially for RoboCup soccer. It is an approach to evolve from the standard Darwin based skeleton towards a robot with more human motion capabilities. Many new features were added to the robot to adapt it for the special requirements of RoboCup Soccer. Therefore, the interaction possibilities with the robot were improved and it has now ...