JHU CoSTAR Block Stacking Dataset
Introduced by Hundt et al. in The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Involves data where a robot interacts with 5.1 cm colored blocks to complete an order-fulfillment style block stacking task. It contains dynamic scenes and real time-series data in a less constrained environment than comparable datasets. There are nearly 12,000 stacking attempts and over 2 million frames of real data.
Source: The CoSTAR Block Stacking Dataset: Learning with Workspace ConstraintsPapers
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