Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. X. Zang, A. P., Kevin Chen, M. V., & JC. Niebles, A. S. In Under review, 2018. Paper abstract bibtex We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models to connect information from both the user instructions and a topological representation of the environment. We evaluate our model's performance on a new dataset containing 10,050 pairs of navigation instructions. Our model significantly outperforms baseline approaches. Furthermore, our results suggest that it is possible to leverage the environment map as a relevant knowledge base to facilitate the translation of free-form navigational instruction.
@inproceedings{Xiaoxue:EtAl:2018,
Author = {X. Zang,Ashwini Pokle, Kevin Chen, M. Vazquez, JC. Niebles, A. Soto, S. Savaresse},
Title = {Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation},
booktitle = {Under review},
year = {2018},
abstract = {We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models to connect information from both the user instructions and a topological representation of the environment. We evaluate our model's performance on a new dataset containing 10,050 pairs of navigation instructions. Our model significantly outperforms baseline approaches. Furthermore, our results suggest that it is possible to leverage the environment map as a relevant knowledge base to facilitate the translation of free-form navigational instruction.},
url={http://saturno.ing.puc.cl/media/papers_alvaro/},
}
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