Learning models for following natural language directions in unknown environments

Learning models for following natural language directions in unknown environments

Natural language offers an intuitive and flexible means for humans to communicate with the robots that we will increasingly work alongside in our homes and workplaces. Recent advancements have given rise to robots that are able to interpret natural language manipulation and navigation commands, but...

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Bibliographic Details
Main Authors: Duvallet, Felix (Author), Howard, Thomas M. (Author), Stentz, Anthony (Author), Walter, Matthew R. (Author), Hemachandra, Sachithra Madhawa (Contributor), Roy, Nicholas (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-05-16T20:42:57Z.
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