AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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Continual HTN Robot Task Planning in Open-Ended Domains: A Case Study
Dominik Off, Jianwei Zhang

Last modified: 2011-08-24

Abstract


The fact that many AI planning approaches are still based on too simplifying assumptions makes it often hard to apply these approaches to real-world robotics. In particular, it is in many cases difficult to generate a complete plan in advance, because not all information is available at the beginning of the planning process. We briefly present the continual planning system ACogPlan and a preliminary test case that demonstrates how the planning system can enable mobile robots to continually plan and execute activities in an open-ended domain.

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