Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
Name
RA_L_2022_new-2.pdf
Description
Accepted version
Size
1.74 MB
Format
Adobe PDF
Checksum (MD5)
8a9d132fff355936e19b1210326d5ad9
Author(s)
Li, Xiao
Rosman, Guy
Gilitschenski, Igor
Araki, Brandon
Vasile, Cristian-Ioan
Karaman, Sertac
Rus, Daniela
Date Issued
2022
Journal
IEEE Robotics and Automation Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
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).
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/LRA.2021.3135940
