Towards Metareasoning for Human-Robot Interaction

  • Xiaoping Chen
  • Zhiqiang Sui
  • Jianmin Ji
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 194)


This paper proposes a model of metareasoning for Human-Robot Interaction (HRI). Robots’ basic abilities for HRI—planning, learning and dialogue—are characterized as three loops in the model, with each spanning ground, object and meta-level. The model provides a conceptualization of HRI and a framework for incremental development of large HRI systems such as service robots by building meta-level functions on top of existing ground/object level components. A case-study focusing on meta-level control shows that the approach is effective and efficient for some application domains. In particular, meta-level control suggests a new opportunity to speed up planning while preserving completeness without any change to object level planners. The experiments also show that, for some basic HRI tasks, there are simple meta-level strategies with performances better than the common strategy in previous work.


HRI metareasoning modeling meta-level scheduling 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of Science and Technology of ChinaHefeiP.R. China
  2. 2.The Hong Kong University of Science and TechnologyHong KongP.R. China

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