Qualitative representation of positional information
Artificial Intelligence
Automated assistants to aid humans in understanding team behaviors
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
RoboCup 2000: Robot Soccer World Cup IV
Recognizing Formations in Opponent Teams
RoboCup 2000: Robot Soccer World Cup IV
An interval-based representation of temporal knowledge
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Incremental Generation of Abductive Explanations for Tactical Behavior
RoboCup 2007: Robot Soccer World Cup XI
| Hi-index | 0.01 |
With the more sophisticated abilities of teams within the simulation league high level online functions become more and more attractive. Last year we proposed an approach to recognize the opponents strategy and developed the online coach accordingly. However, this approach gives only information about the entire team and is not able to detect significant situations (e.g. double pass, standard situations). In this paper we describe a new method which describes spatio-temporal relations between objects. This approach is able to track the objects and therefore the relations between them online so that we are able to interpret situations over time during the game. This enables us to detect the above mentioned situations. We can implement this in the online coach in order to enrich our team with high level functions. This new method is domain independent.