CECW (Colorful Extended Cleanup World)

Introduced by Shi et al. in Revisit Systematic Generalization via Meaningful Learning

The CECW dataset is a color-extended version of the Cleanup World (CW) borrowed from the mobile-manipulation robot domain. CW refers to a world equipped with a movable object as well as four rooms in four colors, including "blue," "green," "red," and "yellow," which is designed as a simulation environment where the agent can act based on the instructions received. CW obeys a particular Geometric Linear Temporal Logic (GLTL) to parse commands by grammatical syntax, resulting in a total of 3,382 commands reflecting 39 GLTL expressions.

Source: https://github.com/MrShininnnnn/CECW


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