Learning to Parse Natural Language Commands to a Robot Control System
dc.contributor.author | Matuszek, Cynthia | |
dc.contributor.author | Herbst, Evan | |
dc.contributor.author | Zettlemoyer, Luke | |
dc.contributor.author | Fox, Dieter | |
dc.date.accessioned | 2019-07-09T15:50:50Z | |
dc.date.available | 2019-07-09T15:50:50Z | |
dc.date.issued | 2012-06 | |
dc.description.abstract | As robots become more ubiquitous and capable of performing complex tasks, the importance of enabling untrained users to interact with them has increased. In response, unconstrained natural-language interaction with robots has emerged as a significant research area. We discuss the problem of parsing natural language commands to actions and control structures that can be readily implemented in a robot execution system. Our approach learns a parser based on example pairs of English commands and corresponding control language expressions. We evaluate this approach in the context of following route instructions through an indoor environment, and demonstrate that our system can learn to translate English commands into sequences of desired actions, while correctly capturing the semantic intent of statements involving complex control structures. The procedural nature of our formal representation allows a robot to interpret route instructions online while moving through a previously unknown environment. | en_US |
dc.description.sponsorship | This work was funded in part by the Intel Science and Technology Center for Pervasive Computing, through collaborative participation in the Robotics Consortium sponsored by the U.S. Army Research Laboratory under the Collaborative Technology Alliance Program (Cooperative Agreement W911NF-10-2-0016), and by NSF grant IIS-1115966. | en_US |
dc.description.uri | https://link.springer.com/chapter/10.1007/978-3-319-00065-7_28 | en_US |
dc.format.extent | 14 pages | en_US |
dc.genre | conference papers and proceedings preprints | en_US |
dc.identifier | doi:10.13016/m29myn-ecwl | |
dc.identifier.citation | Matuszek C., Herbst E., Zettlemoyer L., Fox D. (2013) Learning to Parse Natural Language Commands to a Robot Control System. In: Desai J., Dudek G., Khatib O., Kumar V. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 88. Springer, Heidelberg | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-00065-7_28 | |
dc.identifier.uri | http://hdl.handle.net/11603/14363 | |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature Switzerland AG. | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.subject | Natural Language | en_US |
dc.subject | Lexical Item | en_US |
dc.subject | Robot Control | en_US |
dc.subject | Statistical Machine Translation | en_US |
dc.subject | Categorial Grammar | en_US |
dc.subject | Interactive Robotics and Language Lab | |
dc.title | Learning to Parse Natural Language Commands to a Robot Control System | en_US |
dc.type | Text | en_US |