JHU CoSTAR Block Stacking Dataset

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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 Constraints](/paper/training-frankensteins-creature-to-stack)