Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue

@inproceedings{Liu2015LearningTM,
  title={Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue},
  author={Changsong Liu and Joyce Yue Chai},
  booktitle={AAAI},
  year={2015}
}
In human-robot dialogue, although a robot and its human partner are co-present in a shared environment, they have significantly mismatched perceptual capabilities (e.g., recognizing objects in the surroundings). When a shared perceptual basis is missing, it becomes difficult for the robot to identify referents in the physical world that are referred to by the human (i.e., a problem of referential grounding). To overcome this problem, we have developed an optimization based approach that allows… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Collaborative Effort towards Common Ground in Situated Human-Robot Dialogue

2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI) • 2014
View 3 Excerpts
Highly Influenced

Error-Correcting Isomorphisms of Attributed Relational Graphs for Pattern Analysis

IEEE Transactions on Systems, Man, and Cybernetics • 1979
View 3 Excerpts
Highly Influenced

Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World

Transactions of the Association for Computational Linguistics • 2013
View 1 Excerpt