SimTooReal

SIMTOOREAL provides a unified observability platform for diverse robot behavior training environments. Key features include: • Real-time monitoring across IsaacLab, MuJoCo, Gazebo, and LeRobot • Live dashboard displaying reward curves, GPU metrics, and essential telemetry • Early failure diagnosis and sim-to-real readiness scoring • GPU pool management and zero vendor lock-in This platform acts as an instrument panel for robot learning, enabling teams to stream over 28 telemetry signals and quickly identify potential collapse patterns. It removes the need for manual SSH log analysis by providing clear, actionable insights into training performance and stability. Users can visualize policy state, actor and critic loss, entropy, and clip fractions, ensuring a comprehensive understanding of their training runs. SIMTOOREAL optimizes the entire robot development lifecycle, from initial simulation setup to hardware deployment and fleet monitoring. It helps ensure that robots are only shipped to physical hardware when readiness gates confirm optimal performance. The system supports full transparency at every stage, preventing black-box scenarios and minimizing costly late-stage failures. Designed for robotics engineering teams, SIMTOOREAL is ideal for those focused on efficient robot behavior development and reliable sim-to-real transfer. It integrates seamlessly without forcing changes to existing code or simulation environments, providing flexibility and control over checkpoints and training methodologies.