Autonomous Mission Planner and Supervisor (AMPS) for UAVs

Authors:
Dr. James A. Crowder, Systems Fellow, Colorado Engineering Inc.
John N. Carbone, Electrical and Computer Engineering Department, Southern Methodist University

Abstract:
To reduce mission manning and increase adaptability and evolvability for managing current operations of Unmanned Aerial Vehicle (UAV), Miniature Air-Launched Decoy (MALD) and future systems, an Autonomous Mission Planner and Supervisor (AMPS), based upon an Intelligent Information Agent (I2A) architecture for real-time, adaptive, decision making is proposed. AMPS will use a naturalistic decision-making approach to comparing sensor inputs to a priori situational “scripts” and previously collected data to improve determination/decision and execution time of appropriate actions thereby, enhancing quality and minimizing time to achieve each related mission goal….

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Autonomous Mission Planner and Supervisor (AMPS) for UAVs (8 downloads)

 

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