The Kalman filter: an introduction to concepts
Autonomous robot vehicles
Globally Consistent Range Scan Alignment for Environment Mapping
Autonomous Robots
Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans
Journal of Intelligent and Robotic Systems
RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
RoboCup-98: Robot Soccer World Cup II
RoboCup-98: Robot Soccer World Cup II
RoboCup-98: Robot Soccer World Cup II
Navigation mobiler Roboter mit Laserscans
Autonome Mobile Systeme 1997, 13. Fachgespräch
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
Cooperating physical robots: a lesson in playing robotic soccer
Mutli-agents systems and applications
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
Reactivity and Deliberation: A Survey on Multi-Robot Systems
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
A Two-Tiered Approach to Self-Localization
RoboCup 2001: Robot Soccer World Cup V
Distributed Coordination in Heterogeneous Multi-Robot Systems
Autonomous Robots
Artificial intelligence in robocup
Reasoning, Action and Interaction in AI Theories and Systems
Philosophies and technologies for ambient aware devices in wearable computing grids
Computer Communications
Hi-index | 0.00 |
Self-localization is important in almost all robotic tasks. For playing an aesthetic and effective game of robotic soccer, self-localization is a necessary prerequisite. When we designed our robotic soccer team for RoboCup'98, it turned out that all existing approaches did not meet our requirements of being fast, accurate, and robust. For this reason, we developed a new method, which is presented and analyzed in this paper. We additionally present experimental evidence that our method outperforms other methods in the RoboCup environment.