Blanche: position estimation for an autonomous robot vehicle
Autonomous robot vehicles
The CMUnited-97 robotic soccer team: perception and multiagent control
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Integrating topological and metroc maps for mobile robot navigation: a statistical approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Robot Motion Planning
RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1
RoboCup-97: Robot Soccer World Cup I
AT Humboldt - Development, Practice and Theory
RoboCup-97: Robot Soccer World Cup I
The Spirit of Bolivia: Complex Behavior Through Minimal Control
RoboCup-97: Robot Soccer World Cup I
The CMUnited-97 Small Robot Team
RoboCup-97: Robot Soccer World Cup I
Omni-directional Autonomous Robots Cooperating for Team Play
RoboCup-97: Robot Soccer World Cup I
Navigation mobiler Roboter mit Laserscans
Autonome Mobile Systeme 1997, 13. Fachgespräch
UTTORI United: Cooperative Team Play Based on Communication
RoboCup-98: Robot Soccer World Cup II
Estimating the absolute position of a mobile robot using position probability grids
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
CS Freiburg: Doing the Right Thing in a Group
RoboCup 2000: Robot Soccer World Cup IV
RoboCup 2001: Robot Soccer World Cup V
Cooperative Probabilistic State Estimation for Vision-Based Autonomous Soccer Robots
RoboCup 2001: Robot Soccer World Cup V
Spatial Agents Implemented in a Logical Expressible Language
RoboCup-99: Robot Soccer World Cup III
RoboCup-99: Robot Soccer World Cup III
Fast, Accurate, and Robust Self-Localization in the RoboCup Environment
RoboCup-99: Robot Soccer World Cup III
A Method for Localization by Integration of Imprecise Vision and a Field Model
RoboCup-99: Robot Soccer World Cup III
Cooperative Probabilistic State Estimation for Vision-Based Autonomous Soccer Robots
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
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Robotic soccer is a challenging research domain because problems in robotics, artificial intelligence, multi-agent systems and real-time reasoning have to be solved in order to create a successful team of robotic soccer players. In this paper, we describe the key components of the CS Freiburg team. We focus on the self-localization and object recognition method based on using laser range finders and the integration of all this information into a global world model. Using the explicit model of the environment built by these components, we have implemented path planning, simple ball handling skills and basic multi-agent cooperation. The resulting system is a very successful robotic soccer team, which has not lost any game yet.