Dissertation Briefing: Situated Natural Language Interaction in Uncertain and Open Worlds

Tom Williams

As intelligent robots become integrated into society, it becomes important for them to be capable of natural, human-like human-robot interaction (HRI). While there has been some progress on enabling natural-language based HRI (Mavridis, 2015), most natural language enabled robots rely on highly scripted interactions, keyword spotting, and shallow natural language processing techniques. For many applications, these methods may be sufficient to achieve the desired behavior, which may be restricted to a small class of tasks.

@inproceedings{williams2017AIMBriefing,
  title={Dissertation Briefing: Situated Natural Language Interaction in Uncertain and Open Worlds},
  author={Tom Williams},
  year={2017},
  booktitle={AI Matters},
  url={https://hrilab.tufts.edu/publications/williams2017AIMBriefing.pdf}
  doi={10.1145/3098888.309889}
}