Paper Info
Title
The CS Freiburg Robotic Soccer Team: Reliable Self-Localization, Multirobot Sensor Integration, and Basic Soccer Skills
Abstract
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.
Year
DOI
Venue
1998
10.1007/3-540-48422-1_7
RoboCup 2009
Keywords
Field
DocType
robotic soccer player,robotic soccer,multi-agent system,basic soccer skills,reliable self-localization,successful robotic soccer team,artificial intelligence,multirobot sensor integration,explicit model,successful team,cs freiburg robotic soccer,cs freiburg team,basic multi-agent cooperation,global world model,multi agent system,artificial intelligent
Motion planning,Computer vision,Self localization,Computer science,Simulation,Intelligent robots,Real-time operating system,Artificial intelligence,Systems architecture,Mobile robot,Robotics,Cognitive neuroscience of visual object recognition
Conference
Volume
ISSN
ISBN
1604
0302-9743
3-540-66320-7
Citations 
PageRank 
References 
11
1.51
19
Authors
8
Name
Order
Citations
PageRank
Jens-Steffen Gutmann165776.64
Wolfgang Hatzack2273.97
Immanuel Herrmann3193.13
Bernhard Nebel44019565.71
Frank Rittinger5506.89
Augustinus Topor6193.13
Thilo Weigel717821.39
Bruno Welsch8111.51