Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)

Bibliographic Details
Main Authors: Li, Xiao, Rosman, Guy, Gilitschenski, Igor, Araki, Brandon, Vasile, Cristian-Ioan, Karaman, Sertac, Rus, Daniela
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
Online Access:https://hdl.handle.net/1721.1/144054
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author Li, Xiao
Rosman, Guy
Gilitschenski, Igor
Araki, Brandon
Vasile, Cristian-Ioan
Karaman, Sertac
Rus, Daniela
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Li, Xiao
Rosman, Guy
Gilitschenski, Igor
Araki, Brandon
Vasile, Cristian-Ioan
Karaman, Sertac
Rus, Daniela
author_sort Li, Xiao
collection MIT
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institution Massachusetts Institute of Technology
language English
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spelling mit-1721.1/1440542023-02-14T20:03:57Z Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN) Li, Xiao Rosman, Guy Gilitschenski, Igor Araki, Brandon Vasile, Cristian-Ioan Karaman, Sertac Rus, Daniela Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Laboratory for Information and Decision Systems 2022-07-26T16:23:59Z 2022-07-26T16:23:59Z 2022 2022-07-26T16:21:27Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144054 Li, Xiao, Rosman, Guy, Gilitschenski, Igor, Araki, Brandon, Vasile, Cristian-Ioan et al. 2022. "Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)." IEEE Robotics and Automation Letters, 7 (2). en 10.1109/LRA.2021.3135940 IEEE Robotics and Automation Letters Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other repository
spellingShingle Li, Xiao
Rosman, Guy
Gilitschenski, Igor
Araki, Brandon
Vasile, Cristian-Ioan
Karaman, Sertac
Rus, Daniela
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title_full Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title_fullStr Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title_full_unstemmed Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title_short Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
title_sort learning an explainable trajectory generator using the automaton generative network agn
url https://hdl.handle.net/1721.1/144054
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