| Overview of RoboCup-99 | p. 1 |
| The CMUnited-99 Champion Simulator Team | p. 35 |
| Big Red: The Cornell Small League Robot Soccer Team | p. 49 |
| Middle Sized Soccer Robots: ARVAND | p. 61 |
| Vision Based Behavior Strategy to Play Soccer with Legged Robots | p. 74 |
| Automated Assistants to Aid Humans in Understanding Team Behaviors | p. 85 |
| LogMonitor: From Player's Action Analysis to Collaboration Analysis and Advice on Formation | p. 103 |
| A Statistical Perspective on the RoboCup Simulator League: Progress and Prospects | p. 114 |
| Real-Time Color Detection System Using Custom LSI for High-Speed Machine Vision | p. 128 |
| A Segmentation System for Soccer Robot Based on Neural Networks | p. 136 |
| Practical Camera and Colour Calibration for Large Rooms | p. 148 |
| Path-Tracking Control of Non-holonomic Car-Like Robot with Reinforcement Learning | p. 162 |
| Fast Image Segmentation, Object Recognition and Localization in a RoboCup Scenario | p. 174 |
| Using Hierarchical Dynamical Systems to Control Reactive Behavior | p. 186 |
| Heterogeneity and On-Board Control in the Small Robots League | p. 196 |
| The Body, the Mind or the Eye, First? | p. 210 |
| Motion Control in Dynamic Multi-Robot Environments | p. 222 |
| Behavior Engineering with "Dual Dynamics" Models and Design Tools | p. 231 |
| Techniques for Obtaining Robust, Real-Time, Colour-Based Vision for Robotics | p. 243 |
| Design Issues for a Robocup Goalkeeper | p. 254 |
| Layered Reactive Planning in the IALP Team | p. 263 |
| From a Concurrent Architecture to a Concurrent Autonomous Agents Architecture | p. 274 |
| Tracking and Identifying in Real Time the Robots of a F-180 Team | p. 286 |
| VQQL. Applying Vector Quatization to Reinforcement Learning | p. 292 |
| Fast, Accurate, and Robust Self-Localization in the RoboCup Environment | p. 304 |
| Self-Localization in the RoboCup Environment | p. 318 |
| Virtual RoboCup: Real-Time 3D Visualization of 2D Soccer Games | p. 331 |
| The RoboCup-98 Teamwork Evaluation Session: A Preliminary Report | p. 345 |
| Towards a Distributed Multi-Agent System for a Robotic Soccer Team | p. 357 |
| A Multi-threaded Approach to Simulated Soccer Agents for the RoboCup Competition | p. 366 |
| A Functional Architecture for a Team of Fully Autonomous Cooperative Robots | p. 378 |
| Extension of the Behaviour Oriented Commands (BOC) Model for the Design of a Team of Soccer Players Robots | p. 390 |
| Modular Simulator: A Draft of New Simulator for RoboCup | p. 400 |
| Programming Real Time Distributed Multiple Robotic Systems | p. 412 |
| The Attempto RoboCup Robot Team | p. 424 |
| Rogi Team Real: Dynamical Physical Agents | p. 434 |
| Learning to Behave by Environment Reinforcement | p. 439 |
| End User Specification of RoboCup Teams | p. 450 |
| Purposeful Behavior in Robot Soccer Team Play | p. 460 |
| Autonomous Information Indication System | p. 469 |
| Spatial Agents Implemented in a Logical Expressible Language | p. 481 |
| Layered Learning and Flexible Teamwork in RoboCup Simulation Agents | p. 495 |
| A Method for Localization by Integration of Imprecise Vision and a Field Model | p. 509 |
| Multiple Reward Criterion for Cooperative Behavior Acquisition in a Multiagent Environment | p. 519 |
| BDI Design Principles and Cooperative Implementation in RoboCup | p. 531 |
| AT Humboldt in RoboCup-99 | p. 542 |
| Cyberoos'99: Tactical Agents in the RoboCup Simulation League | p. 546 |
| 11Monkeys Description | p. 550 |
| Team Erika | p. 554 |
| Essex Wizards'99 Team Description | p. 558 |
| FCFoo99 | p. 563 |
| Footux Team Description: A Hybrid Recursive Based Agent Architecture | p. 567 |
| Gongeroos'99 | p. 572 |
| Headless Chickens III | p. 576 |
| IALP | p. 580 |
| Kappa-II | p. 584 |
| Karlsruhe Brainstormers - Design Principles | p. 588 |
| Kasugabito III | p. 592 |
| RoboCup-99 Simulation League: Team KU-Sakura2 | p. 596 |
| The magmaFreiburg Soccer Team | p. 600 |
| Mainz Rolling Brains | p. 604 |
| NITStones-99 | p. 608 |
| Oulu 99 | p. 611 |
| Pardis | p. 614 |
| PaSo-Team'99 | p. 618 |
| PSI Team | p. 623 |
| RoboLog Koblenz | p. 628 |
| Rational Agents by Reviewing Techniques | p. 632 |
| The Ulm Sparrows 99 | p. 638 |
| UBU Team | p. 642 |
| YowAI | p. 646 |
| Zeng99: RoboCup Simulation Team with Hierarchical Fuzzy Intelligent Control and Cooperative Development | p. 649 |
| All Botz | p. 653 |
| Big Red: The Cornell Small League Robot Soccer Team | p. 657 |
| CMUnited-99: Small-Size Robot Team | p. 661 |
| 5dpo Team Description | p. 663 |
| FU-Fighters Team Description | p. 667 |
| Linked99 | p. 671 |
| Owari-Bito | p. 675 |
| Rogi 2 Team Description | p. 679 |
| Temasek Polytechnic RoboCup Team-TPOTs | p. 683 |
| The VUB AI-lab RoboCup'99 Small League Team | p. 687 |
| Agilo RoboCuppers: RoboCup Team Description | p. 691 |
| ART99 - Azzurra Robot Team | p. 695 |
| CoPS-Team Description | p. 699 |
| CS Freiburg'99 | p. 703 |
| DREAMTEAM 99: Team Description Pager | p. 707 |
| Description of the GMD RoboCup-99 Team | p. 711 |
| ISocRob - Intelligent Society of Robots | p. 715 |
| KIRC: Kyutech Intelligent Robot Club | p. 719 |
| The Concept of Matto | p. 723 |
| The RoboCup-NAIST | p. 727 |
| Robot Football Team from Minho University | p. 731 |
| Real MagiCol 99: Team Description | p. 735 |
| RMIT Raiders | p. 741 |
| Design and Construction of a Soccer Player Robot ARVAND | p. 745 |
| The Team Description of Osaka University "Trackies-99" | p. 750 |
| 5dpo-2000 Team Description | p. 754 |
| Team ARAIBO | p. 758 |
| BabyTigers-99: Osaka Legged Robot Team | p. 762 |
| CM-Trio-99 | p. 766 |
| Humboldt Heroes in RoboCup-99 | p. 770 |
| McGill RedDogs | p. 774 |
| Team Sweden | p. 784 |
| UNSW United | p. 788 |
| UPennalizers: The University of Pennsylvania RoboCup Legged Soccer Team | p. 792 |
| Author Index | p. 799 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
