Metrics, Schmetrics! How The Heck Do You Determine A UAV's Autonomy Anyway
AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH
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The recently released DoD Unmanned Aerial Vehicles Roadmap discusses advancements in UAV autonomy in terms of autonomous control levels ACL. The ACL concept was pioneered by researchers in the Air Force Research Laboratorys Air Vehicles Directorate who are charged with developing autonomous air vehicles. In the process of developing intelligent autonomous agents for UAV control systems we were constantly challenged to tell us how autonomous a UAV is, and how do you think it can be measured Usually we hand-waved away the argument and hoped the questioner will go away since this is a very subjective, and complicated, subject, but within the last year weve been directed to develop national intelligent autonomous UAV control metrics - an IQ test for the flyborgs, if you will. The ACL chart is the result. Weve done this via intense discussions with other government labs and industry, and this paper covers the agreed metrics an extension of the OODA - observe, orient, decide, and act - loop as well as the precursors, dead-ends, and out-and-out flops investigated to get there.
- Pilotless Aircraft