Computer-based reasoning system for operational situation control of controllable systems

This invention describes a computer system that learns how to control vehicles by observing what actions were taken in different situations. It collects data on these "what happened, what was done" pairs from various vehicles and then uses these learned rules to automatically control other vehicles in similar circumstances, even comparing geographic locations. The claims specifically focus on learning from multiple controllable systems and applying that knowledge.

Why it matters: The primary challenge remains acquiring sufficient, diverse, and high-quality real-world vehicle operation data to train robust and safe control models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, control algorithms, data processing

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