The ability to jointly understand the geometry of objects and plan actions for manipulating them is crucial for intelligent agents. This ability is referred to as geometric planning. Recently, many interactive environments have been proposed to evaluate intelligent agents on various skills, however, none of them cater to the needs of geometric planning. PackIt is a virtual environment to evaluate and potentially learn the ability to do geometric planning, where an agent needs to take a sequence of actions to pack a set of objects into a box with limited space.
Variants: PackIt
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Robot Task Planning | PackNN | PackIt: A Virtual Environment for … | 2020-07-21 |
Robot Task Planning | Heuristic Largest First-Aligned-BLBF | PackIt: A Virtual Environment for … | 2020-07-21 |
Robot Task Planning | Heuristic Largest First-Aligned-Random | PackIt: A Virtual Environment for … | 2020-07-21 |
Robot Task Planning | Heuristic Random-Aligned-BLBF | PackIt: A Virtual Environment for … | 2020-07-21 |
Recent papers with results on this dataset: