Tractable probabilistic models for intention recognition based on expert knowledge

@article{Schrempf2007TractablePM,
  title={Tractable probabilistic models for intention recognition based on expert knowledge},
  author={Oliver C. Schrempf and David Albrecht and Uwe D. Hanebeck},
  journal={2007 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2007},
  pages={1429-1434}
}
Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayesian networks where the dependencies between random variables are modeled by means of a directed graph. Bayesian networks are very efficient for treating networks with conditionally independent parts. Unfortunately, such independence sometimes has to be constructed by introducing so called hidden variables with an… CONTINUE READING
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