RoboCup 2000: Robot Soccer. World Cup IV RoboCup 2000：机器人足球世界杯IV

RoboCup is an international initiative devoted to advancing the state of the art in artificial intelligence and robotics.The aims of the project and potential research directions are numerous .The ultimate ,long-term goal is to a team of robot soccer players that can beat a human World Cup champion team.
This book,the fourth official archival publication devoted to RoboCup,documents the achievements presented at the Fourth Robot world Cup Sccer ames and Conferences,RoboCup 2000,held in Melbourne,Australia in August/September2000.The book consists of the following parts.
introductory overview and survey
championship papers by the winners of the competitions
finalist patpers for the RoboCup challenge awards
papers and posters presented at the workshop
team description of a large number of participating teams.

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This book is the fourth offical archival publication devoted to RoboCup and documents the achievements presented at the Fourth Robot World Cup Soccer Games and Conferences, RoboCup 2000, held in Melbourne, Australia, in August/September 2000.
The book presents the following parts: introductory overview and survey, championship papers by the winners of the competitions, finalist papers for the RoboCup challenge awards, papers and posters presented at the workshop, team description of a large number of participating teams. This book is mandatory reading for the rapidly growing RoboCup community as well as a valuable source of reference and inspiration for R & D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.

Overview of RoboCup-2000
Champion Teams
　FC Portugal Team Description: RoboCup 2000 Simulation League Champion
　The Cornell RoboCup Team
　CS Freiburg: Doing the Right Thing in a Group
　The UNSW RoboCup 2000 Sony Legged League Team
Challenge Award Finalists
　Adaptive Path Planner for Highly Dynamic Environments
　Communication and Coordination Among Heterogeneous Mid-Size Players: ART99
　A Localization Method for a Soccer Robot Using a Vision-Based　Omni-Directional Sensor
　Behavior Classification with Self-Organizing Maps
Technical Papers Full Papers
　Flexible Synchronisation within RoboCup Environment: A Comparative Analysis
　Extended Q-Learning: Reinforcement Learning Using Self-Organized State Space
　And the Fans Are Going Wild! SIG plus MIKE
　Fast and Accurate Robot Vision for Vision Based Motion
　Design of RoboCup-Rescue Viewers - Towards a Real World Emergency System
　From Multiple Images to a Consistent View
　Omni-Directional Vision with a Multi-part Mirror
　Observation Strategy for Decision Making Based on Information Criterion
　Towards a Logical Approach for Soccer Agents Engineering
　Bridging Gap between the Simulation and Robotics with a Global Vision System
　Real-Time Estimating Spatial Configuration between Multiple Robots by Triangle and Enumeration Constraints
　Framework of Distributed Simulation System for Multi-agent Environment
　Robust Real Time Color Tracking
……
Poster Descriptions
Team Descriptions Simulation League
Small-Size Robot(F180）League
Middle-Size Robot(F2000)League
Sony Legged Robot League
Author Index