This page shows the event schedule for the RoboCup 2003 Symposium. Below are the quick links to help you navigate this page.
| Time | Track 1 | Track 2 | Track 3 | Slot |
| 9:00 | opening | |||
| 9:15 | Veloso | |||
| 10:05 | RoboCup Roadmap and Future of Robocup | |||
| 11:35 | break | |||
| 11:50 | Mataric | |||
| 12:40 | break | |||
| 14:30 | AI 1 | Vision 1 | Humanoid/Legged | 1.1 |
| 14:55 | AI 1 | Vision 1 | Humanoid/Legged | 1.2 |
| 15:20 | AI 1 | Vision 1 | Humanoid/Legged | 1.3 |
| 15:45 | AI 1 | Vision 1 | Humanoid/Legged | 1.4 |
| 16:10 | break | |||
| 16:25 | AI 2 | Vision 2 | Misc. Robotics | 2.1 |
| 16:50 | AI 2 | Vision 2 | Misc. Robotics | 2.2 |
| 17:15 | AI 2 | Vision 2 | Misc. Robotics | 2.3 |
| 17:40 | AI 2 | Vision 2 | Misc. Robotics | 2.4 |
| 18:05 | break | |||
| 18:20 | SIG Overview | |||
| 18:40 | 2:00 | Poster Session | ||
| 20:40 | 3:00 | Dinner | ||
| 9:00 | Nehmzow | |||
| 9:50 | break | |||
| 10:05 | Dario | |||
| 10:55 | break | |||
| 11:10 | AI 3 | Education | Simulation | 3.1 |
| 11:35 | AI 3 | Education | Simulation | 3.2 |
| 12:00 | AI 3 | Education | Simulation | 3.3 |
| 12:25 | 1:50 | break | ||
| 14:15 | 2:00 | SIGs | ||
| 16:15 | break | |||
| 16:30 | AI 4 | Planning | 4.1 | 4.1 |
| 16:55 | AI 4 | Planning | 4.2 | 4.2 |
| 17:20 | AI 4 | 4.3 | 4.3 | 4.3 |
| 17:45 | concluding remarks | |||
| 18:00 | end |
| Time Slot | Session/Entry | Session | Title | Corresponding Author | |
| Track 1 | 1.1 | AI 1 | AI Methodology | Complexity Science and Representation in Robot Soccer | Blaine Price |
| Track 1 | 1.2 | AI 1 | AI Methodology Sim | Recognition and prediction of motion situations based on a qualitative motion description | Ubbo Visser |
| Track 1 | 1.3 | AI 1 | AI Research | Evaluating Team Performance at the Edge of Chaos | Mikhail Prokopenko |
| Track 1 | 1.4 | AI 1 | AI Research | Hidden Markov Modeling of Team-play Synchronization | Itsuki Noda |
| Track 1 | 2.1 | AI 2 | AI Methodology Sim | Designing Agent Behavior with the Extensible Agent Behavior Specification Language | Martin Lötzsch |
| Track 1 | 2.2 | AI 2 | AI Methodology Sim | Feature-based Declarative Opponent-Modelling | Timo Steffens |
| Track 1 | 2.3 | AI 2 | AI Methodology Sim | Scenario-based Teamworking, How to Learn, Create, and Teach Complex Plans? | Ali Ajdari Rad |
| Track 1 | 2.4 | AI 2 | AI Methodology Sim | Specifying Agent Behaviors with UML Statecharts and StatEdit | Jan Murray |
| Track 1 | 3.1 | AI 3 | AI Hardware | Echo State Networks for Mobile Robot Modeling and Control | Paul Plöger |
| Track 1 | 3.2 | AI 3 | AI Hardware | Model and Behavior-Based Robotic Goalkeeper | Pedro Lima |
| Track 1 | 3.3 | AI 3 | AI Vision | Evolving Visual Object Recognition for Legged Robots | Juan Cristobal Zagal Montealegre |
| Track 1 | 4.1 | AI 4 | Sim AI | Coaching Advice and Adaptation | Patrick Riley |
| Track 1 | 4.2 | AI 4 | Tech sim | Technical solutions of TsinghuAeolus for Robotic Soccer | Jinyi Yao |
| Track 2 | 1.1 | Vision 1 | Vision | A Real-Time Auto-Adjusting Vision System for Robotic Soccer | Matthias Jüngel |
| Track 2 | 1.2 | Vision 1 | Vision | Fully Autonomous Robust Color Classification | Ingo Dahm |
| Track 2 | 1.3 | Vision 1 | Vision | Knowledge-based Autonomous Dynamic Color Calibration | Nick Barnes |
| Track 2 | 1.4 | Vision 1 | Vision | Playing Robot Soccer under Natural Light: A Case Study | Gerhard Kraetzschmar |
| Track 2 | 2.1 | Vision 2 | Vision | ChipVision -- A Vision System for Robots Based on Reconfigurable Hardware | Carl Benson |
| Track 2 | 2.2 | Vision 2 | Vision | Tracking Regions | Felix von Hundelshausen |
| Track 2 | 2.3 | Vision 2 | Vision Legged | Fast and Robust Edge-Based Localization in the Sony Four-Legged Robot League | Thomas Roefer |
| Track 2 | 2.4 | Vision 2 | Vision/Methodology | A Symmetry Operator and its Application to the RoboCup | Kai Huebner |
| Track 2 | 3.1 | Education | Education | RoboCup as an Introduction to CS Research | Peter Stone |
| Track 2 | 3.2 | Education | Education | RoboCup in Higher Education: A Preliminary Report | Elizabeth Sklar |
| Track 2 | 3.3 | Education | Education | Scaffolding Children's Robot Building and Programming Activities | Peta Wyeth |
| Track 2 | 4.1 | Planning | Hardware Planning | Planning trajectories in dynamic environments using a gradient method | Alessandro Farinelli |
| Track 2 | 4.2 | Planning | Planning Representation | Local Multiresolution Path Planning | Sven Behnke |
| Track 3 | 1.1 | Humanoid/Legged | Humanoid | A humanoid approaches to the goal-reinforcement learning based on rhythmic walking parameters | Minoru Asada |
| Track 3 | 1.2 | Humanoid/Legged | Humanoid | Design of Walking Gaits for Tao-Pie-Pie, a Small Humanoid Robot | Jacky Baltes |
| Track 3 | 1.3 | Humanoid/Legged | Humanoid | ProRobot – Predicting the future of humanoid robots | Ralf Regele |
| Track 3 | 1.4 | Humanoid/Legged | Legged Sensorics | Traction Monitoring for Collision Detection with Legged Robots | Michael Quinlan |
| Track 3 | 2.1 | Misc. Robotics | Architecture Hardware | Multi-Robot Control in Highly Dynamic, Competitive Environments | David Ball |
| Track 3 | 2.2 | Misc. Robotics | Methodology | Developing Comprehensive State Estimators for Robot Soccer | Thorsten Schmitt |
| Track 3 | 2.3 | Misc. Robotics | Small-Size Methodology | Cooperative Soccer Play by Real Small-Size Robot | Kazuhito Murakami |
| Track 3 | 2.4 | Misc. Robotics | Small-Size Sensorics | Image-Based Versus Position-Based Servoing Using On-Board Vision for Robocup F-180 League Mobile Robots | Paul Lee |
| Track 3 | 3.1 | Simulation | Simulation | A Plugin-Based Architecture For Simulation In The F2000 League | Alexander Kleiner |
| Track 3 | 3.3 | Simulation | Simulation Vision | Development of a Simulator of Environment and Measurement for Autonomous Mobile Robots Considering | Kazunori Umeda |
| Track 3 | 3.2 | Simulation | Simulation | Simulation League: The Next Generation | Oliver Obst |
| Title | Corresponding Author | |
| Educational Feautures of Malaysian Robot Contest | Amir Shafie | |
| A Hybrid Software Platform for Sony AIBO Robots | Huosheng Hu | |
| A Rule-Driven Autonomous Robotic System Operating in a Time-Varying Environment | Jianqiang Jia | |
| Trot Gait Design details for Quadrupeds | Vincent HUGEL | |
| Reducing the communication for multiagent coordination in the RoboCupRescue Simulator | Arnoud Visser | |
| Pseudo-Local Vision System Using Ceiling Camera for Small Multi-Robot Platforms | Yasuhiro Masutani | |
| Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments | Oliver Obst | |
| Self-Localization Method Using Two Landmarks and Dead Reckoning for Autonomous Mobile Soccer Robots | Takeshi Matsuoka | |
| Speed-Dependent Obstacle Avoidance by Dynamic Active Regions | Vlatko Becanovic | |
| Using the Opponent Pass Modeling Method to Improve Defending Ability of a (Robo)Soccer Simulation Team | Hamid Younesy | |
| Design of an Ultrasonic Vision System for Environmental Perception and Object Recognition in Robot Soccer | Patrick Mansn | |
| Topological Navigation in Configuration Space Applied to Soccer Robots | Pedro Lima | |
| A Fuzzy Reinforcement Learning for a Ball Interception Problem | Tomoharu Nakashima | |
| Intelligent Control of Autonomous Mobile Soccer Robot Adapting to Dynamical Environment | Ryotaku Hayashi | |
| A Hierarchical Multi-Module Learning System based on Self-Interpretation of Instructions by Coach | Yasutake Takahashi | |
| Autonomous Robot Controllers Capable of Acquiring Repertoires of Complex Skills | Michael Beetz | |
| A New Odometry System to Reduce Asymmetric Errors for Omnidirectional Mobile Robots | Peiman Amini | |
| Texture-based Pattern Recognition Algorithms for the RoboCup Challenge | Huosheng Hu | |
| An Open Robot Simulation Environment | Toshiyuki Ishimura | |
| Application of Parallel Scenario Description for RoboCupRescue Civilian Agent | Kosuke Shinoda | |
| RoboCup Advanced 3D Monitor | Joao Pavao | |
| RoboCup Rescue Simulation: Methodologies and Tools for Practical Applications | Luca Iocchi | |
| Towards an Intelligent Vision system with Variable Illumination in Middle Size RoboCup | Mansour Jamzad | |
| Filling the Gap among Coordination, Planning, and Reaction Using a Fuzzy Cognitive Model | Matteo Matteucci | |
| Toward an Undergraduate League for RoboCup | Elizabeth Sklar | |
| A probabilistic framework for weighting different sensor data in MUREA | Marcello Restelli | |
| Plays as Team Plans for Coordination and Adaptation | Brett Browning | |
| Progress in Learning 3 vs. 2 Keepaway | Gregory Kuhlmann | |
| Distributed Control of Gait for a Humanoid Robot | Damien Kee | |
| Predicting Away the Delay | Sven Behnke | |
| Towards a Probabilistic Asynchronous Linear Control Theory | Daniel Polani | |
| Recognizing and predicting agent behavior with case based reasoning | Jan Wendler | |
| Case based game play in the robocup four legged league: Part I the theoretical model | Alankar Karol | |
| How contests can foster the research activites on robotics in developing countries: Chile a case study | Javier Ruiz-del-Solar | |
| Grounding Robot Sensory and Symbolic Information using the Semantic Web | Christopher Stanton | |