Understanding human intentions via Hidden Markov Models in autonomous mobile robots

@article{Kelley2008UnderstandingHI,
  title={Understanding human intentions via Hidden Markov Models in autonomous mobile robots},
  author={Richard Kelley and Alireza Tavakkoli and Christopher King and Monica N. Nicolescu and Mircea Nicolescu and George Bebis},
  journal={2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  year={2008},
  pages={367-374}
}
Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly relevant for situations that involve collaboration among agents or detection of situations that can pose a threat. In this paper, we propose an approach that allows a robot to detect intentions of others based on experience acquired through its own sensory-motor capabilities, then using this experience while taking the perspective… CONTINUE READING
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