and development in physical agents, namely, fully autonomous legged robots. In this article, we describe our work using Sony’s legged robots to participate at the RoboCup-98 legged robot demonstration and competition. Robotic soccer represents a challenging environment for research in systems with multiple robots that need to achieve concrete objectives, particularly in the presence of an adver...

Many approaches for object detection based on color coding were published in the RoboCup domain. They are tuned to the typical RoboCup scenario of constant lighting using a static subdivision of the color space. However, such algorithms will soon be of limited use, when playing under changing and finally natural lighting. This paper presents an algorithm for automatic color training, which is a...

This article is a first approach to the use of Rete algorithm to design a team of robotic soccer playing agents for Robocup Soccer Server. Rete algorithm is widely used to design rule-based expert systems. Robocup Soccer Server is a system that simulates 2D robotic soccer matches. The paper presents an architecture based on CM United team architecture for Robocup Soccer Server simulation system...

This paper presents a base code release by the UT Austin Villa RoboCup 3D simulation team from the University of Texas at Austin. The code release, based off the 2015 UT Austin Villa RoboCup champion agent, but with some features such as high level strategy removed, provides a fully functioning agent and good starting point for new teams to the RoboCup 3D simulation league. Additionally the cod...

The aim of this work is to contribute some insights and a partial overview of how machine learning methods are used in robotics. We first discuss typical general issues in the relationship between robotics and machine learning. Then we focus on projects associated with the RoboCup competition and symposium, and review the extent to which machine learning approaches have been used in the 4-legge...

This paper presents the team coordination methodologies of CAMBADA, a robotic soccer team designed to participate in the RoboCup middle-size league (MSL). The coordination model extends and adapts previous work in the Soccer Simulation League to the MSL environment. The approach is based on flexible positionings and priority-based dynamic role/positioning assignment. In addition, coordinated pr...

This paper presents a system for marking or covering players on an opposing soccer team so as to best prevent them from scoring. A basis for the marking system is the introduction of prioritized role assignment, an extension to SCRAM dynamic role assignment used by the UT Austin Villa RoboCup 3D simulation team for formational positioning. The marking system is designed to allow for decentraliz...

RoboCup Challenge o ers a set of challenges for intelligent agent researchers using a friendly competition in a dynamic, real-time, multiagent domain. While RoboCup in general envisions longer range challenges over the next few decades, RoboCup Challenge presents three speci c challenges for the next two years: (i) learning of individual agents and teams; (ii) multi-agent team planning and plan...

RoboCup is a competition for autonomous robots playing soccer that makes contributions to various Intelligent Autonomous Systems. In RoboCup, frameworks to support robot programming are important because we have to resolve complex dif culties by software, especially in the four-legged robot league, where we can never resolve these dif culties by hardware since only xed hardware is available. Th...

This year’s Robot Rescue event was held in conjunction with the American Association for Artificial Intelligence (AAAI) and RoboCup at the colocated RoboCup and International Joint Conference on Artificial Intelligence. The year 2001 was the first year that the rescue event was part of RoboCup, and the second year that the event was held as part of the AAAI Robot Competition. The joint rules co...