RoboCasa is a large-scale simulation framework for training and benchmarking generalist robots to perform everyday tasks in realistic, kitchen-centered environments using both human demonstrations and synthetically generated data. The RoboCasa365 release expands to 365 tasks across 2,500 kitchen scenes, providing hundreds of hours of human demonstrations, thousands of hours of synthetic data, per-frame subtask annotations, and benchmarking support for multi-task, foundation-model, and lifelong learning with multiple policy models. The platform leverages generative AI to create diverse textures and 3D objects, supports cross-embodiment robots and interactable appliances, and enables scalable long-horizon manipulation research.
AI named RoboCasa in September 2026.
AI cited robocasa.ai in these answers, after developer.nvidia.com.
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