This article describes the computational model underlying the AGILO autonomous robot soccer team, its implementation, and our experiences with it. According to our model the control system of an autonomous soccer robot consists of a probabilistic game state estimator and a situated action selection module. The game state estimator computes the robot’s belief state with respect to the current ga...

In the RoboCup middle-sized soccer league, autonomous robot players in the field are required to localize themselves in real time by utilizing the sensors mounted on themselves. There could be many different kinds of sensors that can serve as part of the solution to this task. Especially, vision sensors are one of the most promising because they are small, light-weight, inexpensive, and the mos...

An integrated multi-agent robot system for robot soccer games consists of multiple mobile robots, a vision system, a wireless communications 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 design and manufacture, integration of the electromecha...

This research proposes new tools for investigation of behavioral diversity in multi-robot systems and a significant body of results using these tools in simulated and real mobile robot experiments. The experiments specifically describe a framework of defining behavior-based strategies for multi-robot tasks as robot foraging, robot soccer and robot formation. The research focuses specifically on...

In order to create a cooperative architecture for multiagent systems in robotic soccer, it is necessary to model and understand the human soccer concepts to use and express them computationally. This work presents the main features for a multi-agent cooperative architecture based on human soccer concepts. The architecture can be applied to different categories of RoboCup. To test its performanc...

Our contribution is composed of two parts: one is development of a cheap multisensor-basedmobile robot, the other is development of robust visual tracking system with on-line visual learning capability. To promote robotic soccer research, we need a low cost and portable robot with some sensors and a communication device. To date, there is no platform for robotic soccer. Therefore, each research...

Design and Implementation Solenoid Based Kicking Mechanism for Soccer Robot Applied in Robocup-MSL S.Hamidreza Mohades Kasaei1, S. Mohammadreza Mohades Kasaei2 and S.Alireza Mohades Kasaei3 1Department of computer Engineering, Islamic Azad University Khorasgan Branch‐Young Researchers Club, Iran. Email: [email protected] 2Department of computer Engineering, Islamic Azad University Khorasg...

This paper presents five case studies of successful applications of reinforcement learning methods to learn specific subtasks in robot soccer. The used learning algorithms are introduced, followed by descriptions of each case study on its own, by introducing the task, the machine learning techniques and finally the results. The case studies range from motor control over simulated soccer to actu...

Autonomous robot soccer requires effective multi-agent planning and execution, which ultimately relies on successful skill execution of individual team members. This paper addresses the problem of ball-manipulation for an individual robot already in possession of the ball. Given a planned pass or shoot objective, the robot must intelligently move the ball to its target destination, while keepin...

In the robot soccer game, the minimal trajectory generating method and the accurate motion trajectory control are very important. In this paper we suggest a trajectory generating method which is very simple and effective. This method uses only arcs and lines. We also propose a new motion tracking control. In the most of the motion tracking control the main control parameter is a steering angle....