Imperfect sensing based analysis of agents deployed in environments for traversal task execution

This invention describes a computer program that helps evaluate how well and safely autonomous vehicles or robots will perform tasks, especially in unfamiliar places, when their sensors might not work perfectly. It does this by simulating different sensor malfunctions, both individual and interconnected, to predict things like how long a task will take or how many crashes might happen. The system specifically focuses on using input specifications to calculate the probability of the agent failing to detect obstacles in a given area.

Why it matters: The computational modeling of complex, correlated sensor failures in unknown environments has become significantly more sophisticated and accessible since 2021, enhancing the accuracy of such predictive analysis.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, computational modeling

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