A configuration state approach is presented that simplifies the mutual collision analysis of objects with known shapes that move along known paths. Accurate and fast prediction of contact situations in games such as robot soccer enables improved anticipatory and corrective actions of the state estimation, control and planning processes. An overview is given how advantage is taken of the configu...

Controlling autonomous, humanoid robots in a dynamic, continuous, and real-time environment is a complex task. We have used an Extended Kalman Filter to track the position and velocity of the soccer ball in the RoboCup 3D soccer simulation scenario. The influence of reducing the error in the ball estimate on a high-level behavior is then demonstrated using the keep-away behavior. We have applie...

The robots used in MiroSot (Micro-Robot World Cup Soccer Tournament) are small in size (7.5cm 7.5cm 7.5cm), fully/semi autonomous and without any human operators. MiroSot involves multiple robots that need to collaborate in an adversarial environment to achieve speciic objectives. They have dynamic environments as other robots intentionally aaect the environment in unpredictable ways. The key a...

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...

This paper describes our approach on evolving a robot controller to generate a set of goalkeeper behaviours in the RoboCup domain based on the genetic programming (GP) technique. The goalkeeper agent is a software construct that operates in a simulated environment provided by the Soccer Server. Our research is to determine the conditions that need to be met for an evolved goalkeeper agent to pe...

A new method of motion deadlock resolving by using fuzzy decision in robot soccer games is proposed in this paper. For the reasons of complex competition tasks and limited intelligence, soccer robots fall into motion deadlocks in many conditions, which is very difficult for robots to decide whether it is needed to retreat for finding new opportunities. Based on the analysis of human decision fo...

The Dutch robot soccer team Clockwork Orange is a research project of the Delft University of Technology and the University of Amsterdam. In this project we study multi-robot collaboration, robot vision and robot control. Our research focus, overviewed in this paper, is on automatic calibration for robust colour segmentation, behaviour based robotics, reinforcement trained dribbling with the ba...

The objective of this paper and our current research is to develop a human-robot interaction architecture that will let human coaches train robots to play soccer via spoken language. This work exploits recent developments in cognitive science, particularly notions of grammatical constructions as formmeaning mappings in language, and notions of shared intentions as distributed plans for interact...

An integrated multi-agent robot system (NTU-Formosa) for robot soccer games was built in this study. The system consists of multiple mobile robots, a vision system, a wireless communication system, and a host computer. The multiple robots can be cooperatively controlled as they play a robot soccer game in an unknown and dynamic environment. The development of the system involved mechanism desig...

This paper presents a cooperation strategy between a human operator and autonomous robots for an interactive robot soccer game. The interactive robot soccer game has been developed to allow humans to join into the game dynamically and reinforce entertainment characteristics. In order to make these games more interesting, a cooperation strategy between humans and autonomous robots on a team is v...