in this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses ferguson splines and pso (particle swarm optimization). the objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. ferguson splines create preliminary paths using random generated para...

In a MiroSOT robot soccer program, operators manually adjust color setting using global vision system for detecting objects such as robots and a ball. It is a cumbersome and time-consuming operation before the game. Since spectators may make shadows and illumination changes on the pitch, it becomes more difficult to detect colors of the objects. For the convenience of operators, automatic color...

This work proposes a novel approach for introducing market-driven strategy to robot soccer domain in order to solve vital issues related to multiagent coordination. In robot soccer, two teams of robots compete with each other to win the match. For the benefit of the team, the robots should work collaboratively, whenever possible. Market-driven approach applies the basic properties of free marke...

Some domains, like robot soccer, are difficult for agents to learn in using direct statistical and reinforcement learning techniques. However, agents often have a goal or purpose, which gives them a natural basis for reinforcement learning in the form of a fitness function. Such a fitness function allows the task of learning to be accomplished through optimization of the fitness function in the...

Robotic soccer involves multiple agents that need to collaborate in an adversarial environment to achieve speciic objectives. In this paper, we describe the robotic agents and architecture that we have developed to enter RoboCup-97. The framework integrates high-level and low-level reasoning as an overall wireless communication system of small-size robots, an overhead vision camera for percepti...

Robot soccer has evolved into a very dynamic and competitive field within the last few years, many different robot soccer leagues now exist. Most of the leagues rely on computer vision in one form or another to gather information about the game situation – the position of a team's robots, the position of the opponent's robots and the ball. While some problems robot soccer vision posed have been...

In this paper we developed system for coordinatization the robot-soccer game. This coordinatization we want to use for strategy extraction. The robot soccer is bimilar ant-like systems, which take advantage of agents’ situatedness to reduce or eliminate the need for centralized control or global knowledge. This reduces the need for complexity of individuals and leads to robust, scalable systems...

One of the challenges in control engineering education is to motivate students to invest the effort necessary to understand the theoretical foundations of feedback control. We have found that many students are inherently interested in robotics and are attracted to control engineering when they understand that it plays a central role in robotic systems. To capitalize on this appeal, we have esta...

This paper describes the computational model underlying the AGILO autonomous robot soccer team and its implementation. The most salient aspects of the AGILO control software are that it includes (1) a cooperative probabilistic game state estimator working with a simple off-the-shelf camera system; (2) a situated action selection module that makes amble use of experience-based learning and produ...

In this paper, a Fuzzy-Obstacle-Avoidance-Path (FOAP) algorithm for the obstacle avoidance and a procedure for the shooting action of the robot soccer based on this algorithm are proposed. This algorithm contains a fuzzy system that is used to estimate the rotational velocity of the robot soccer. To demonstrate the effectiveness and applicability of the proposed method, two simulations are pres...