This requires an advanced software infrastructure that ties together robotic systems, AI-driven decision-making, experiment orchestration, and scientific data management into a coherent, scalable platform. * Implement communication patterns and interfaces between the robotics layer, AI/ML decision engines, and data infrastructure * Ensure platform reliability, fault tolerance, and reproducibility — including logging, error handling, and system state management at scale
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