DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2018
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| Online Access: | http://hdl.handle.net/1721.1/113497 |
| _version_ | 1811087101988438016 |
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| author | Tucker, Mycal (Mycal D.) |
| author2 | Nicholas Roy. |
| author_facet | Nicholas Roy. Tucker, Mycal (Mycal D.) |
| author_sort | Tucker, Mycal (Mycal D.) |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T13:39:46Z |
| format | Thesis |
| id | mit-1721.1/113497 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:39:46Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1134972019-04-12T23:08:14Z DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns Distributed Correspondence Graph - Unknown Phrase, Unknown Percept Automatic symbol acquisition through grounding to unknowns Tucker, Mycal (Mycal D.) Nicholas Roy. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 91-96). Research in automatic natural language grounding, in which robots understand how phrases relate to real-world objects or actions, offers a compelling reality in which untrained humans can operate highly sophisticated robots. Current techniques for training robots to understand natural language, however, assume that there is a fixed set of phrases or objects that the robot will encounter during deployment. Instead, the real world is full of confusing jargon and unique objects that are nearly impossible to anticipate and therefore train for. This thesis presents a model called the Distributed Correspondence Graph - Unknown Phrase, Unknown Percept - Away (DCG-UPUP-Away) that augments the state of the art Distributed Correspondence Graph by recognizing unknown phrases and objects as unknown, as well as reasoning about objects that are not currently perceived. Furthermore, experimental results in simulation, as well as a trial run on a turtlebot platform, validate the effectiveness of DCG-UPUP-Away in grounding phrases and learning new phrases. by Mycal Tucker. M. Eng. 2018-02-08T16:26:30Z 2018-02-08T16:26:30Z 2016 2016 Thesis http://hdl.handle.net/1721.1/113497 1020068951 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 96 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Tucker, Mycal (Mycal D.) DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title | DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title_full | DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title_fullStr | DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title_full_unstemmed | DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title_short | DCG-UPUP-Away : automatic symbol acquisition through grounding to unknowns |
| title_sort | dcg upup away automatic symbol acquisition through grounding to unknowns |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/113497 |
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