500k representative demonstrations

The '500k representative demonstrations' is a curated subset of a large-scale synthetic dataset that contains diverse examples of object fetching tasks in cluttered scenes, used to evaluate the effectiveness of action generation policies in embodied AI.

Papers using 500k representative demonstrations (1)

FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real2025