AI2-Thor is an interactive environment for embodied AI. It contains four types of scenes, including kitchen, living room, bedroom and bathroom, and each scene includes 30 rooms, where each room is unique in terms of furniture placement and item types. There are over 2000 unique objects for AI agents to interact with.
Source: Learning Object Relation Graph andTentative Policy for Visual Navigation
Image Source: https://ai2thor.allenai.org/
Variants: AI2-THOR
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Visual Navigation | MVV-IN | Multimodal Aggregation Approach for Memory … | 2020-09-01 |
| Visual Navigation | SAVN | Learning to Learn How to … | 2018-12-03 |
Recent papers with results on this dataset: