Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation (D18-1)
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Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese
| Challenge: | Existing models for translating free-form natural language instructions to a high-level plan for behavioral robot navigation are difficult due to the variability in the way people describe routes. |
| Approach: | They propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for robot navigation. |
| Outcome: | The proposed model significantly outperforms baseline approaches on a new dataset containing 10,050 pairs of navigation instructions. |
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