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Synthetic Simulation Pipelines for Embodied AI

Design high-fidelity simulation stacks that combine physics accuracy, procedural scene generation, and language-driven scenario scripting to accelerate robotics training.

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7. Evaluation and Validation

Develop rigorous evaluation suites to ensure simulations produce reliable policies.

  • Benchmark Tasks: Maintain standardized tasks (navigation, manipulation, inspection) with clear success metrics.
  • Expert Comparisons: Compare agent performance to human or expert baselines.
  • Stress Tests: Introduce adversarial conditions (unexpected obstacles, sensor dropouts) to check resilience.
  • Real-World Trials: Periodically test trained models on physical hardware, capturing discrepancies.
  • Metrics Dashboard: Track success rates, failure modes, transfer efficiency, and safety incidents.

Set acceptance thresholds before deployment. If metrics fall below thresholds, iterate on simulation fidelity or training curriculum.

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