Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
The computational complexity of propositional STRIPS planning
Artificial Intelligence
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Planning under uncertainty some key issues
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A case-based approach for coordinated action selection in robot soccer
Artificial Intelligence
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In this paper we focus on plan execution in highly dynamic environments. Our plan execution procedure is part of a high-level planning system which controls the actions of our RoboCup team ”Mostly Harmless”. The used knowledge representation scheme is based on traditional STRIPS planning and qualitative reasoning principles. In contrast to other plan execution algorithms we introduce the concept of plan invariants which have to be fulfilled during the whole plan execution cycle. Plan invariants aid robots in detecting problems as early as possible. Moreover, we demonstrate how the approach can be used to achieve cooperative behavior.