Summary
The company says GRID can select the models and skills needed for a task, generate training simulations, deploy the resulting capability and monitor failures in real-world operation. It presents the system as a continuously improving platform that feeds robot performance and failures back into later deployments.
Why it matters
The announcement reflects a shift from selling a robot-specific model to building an operating layer for many robot types and tasks. The capability remains vendor-reported, so independent evidence of reliability, transfer across platforms and sustained improvement is still needed.
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