RoboCasa365 Launches as the Largest Open Benchmark for Generalist Robot Policies

A new simulation benchmark offers 2,500 kitchen environments, 365 tasks, and 3,200+ objects to standardize how researchers evaluate robot learning — addressing one of embodied AI's biggest reproducibility gaps.

A large-scale simulation benchmark for training and evaluating generalist robot models went public Monday, as @yukez announced the release of RoboCasa365. The benchmark includes 2,500 procedurally generated kitchen environments, 365 distinct manipulation tasks, and over 3,200 unique objects — making it one of the most comprehensive standardized testbeds for embodied AI to date.

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