Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators
Our goal is to develop models that allow a robot to understand natural language instructions in the context of its world representation. Contemporary models learn possible correspondences between parsed instructions and candidate groundings that include objects, regions and motion constraints. Howev...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
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Robotics: Science and Systems Foundation
2018
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| Online Access: | http://hdl.handle.net/1721.1/116438 https://orcid.org/0000-0002-9693-2237 https://orcid.org/0000-0002-8293-0492 |