Research Environment for Supervisory Control of Unmanned Vehicles (RESCHU)

A system and method for modeling supervisory control of heterogeneous unmanned vehicles through discrete event simulation is provided. Generally, the system contains a memory and a processor configured by the memory to perform the steps of: simulating events in the system; simulating arrival processes for the events in the system; simulating how long a human operator takes to respond to the simulated events in the system, where the time that the human operator takes to respond to a simulated event is referred to as a service time; and prioritizing the events to be handled by the human operator, wherein the system models human operator involvement in the unmanned vehicle system.

Researchers

Mary Cummings / Carl Nehme / Yale Song

Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Autonomous Systems
Impact Areas: Connected World

  • system and method for modeling supervisory control of heterogeneous unmanned vehicles through discrete event simulation
    United States of America | Granted | 9,449,142

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