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Dyna Robotics addresses the reliability gap in robotics by combining a large-scale data pyramid, a specialized reward model, and iterative deployment to achieve near-perfect task performance, moving towards commercial-grade autonomy.
This paper organizes embodied data sources into a five-level pyramid (real-robot, UMI, egocentric/exocentric, simulation, general vision-language), analyzing their trade-offs between scalability and robot alignment, and reviews recent embodied foundation models in terms of data recipes. It also discusses open challenges for building next-generation embodied systems.