Dr. Jerrel Stracener, CAPT Daniel P. Burns, Rusty Husar
This paper develops the relationship between human interaction and machine automation contributing to trade space assessments during the early requirements definition phases. Human supervisory involvement will always be a component for autonomous systems. Solid requirements baselines are essential for sound development and must include the human interaction during early system architecture design. Autonomous systems are a complex integration of human intelligence and machine automation capable of adapting to unforeseen events. Proliferation of these systems has accelerated, in part, to meet the ever-increasing demand to develop and use unmanned vehicles to conduct surveillance and reconnaissance missions. Current AGILE and RAPID Information Technology (IT) programs drive the accelerate development of unmanned and autonomous systems and stress conventional development frameworks.
In an environment of declining defense budgets with human work force being a significant cost, Autonomous Unmanned Systems provide the force multiplier allowing fewer operators to conduct operational missions. Unmanned intelligence, surveillance and reconnaissance (ISR) systems are a key component of the United States Navy (USN) defense transformation . Assessing ISR data to developing actionable security operations will continue to be a national priority. The US Navy has defined that autonomous systems are a complex integration of human intelligence and machine automation. Future U.S Navy missions would be conducted using multiple UMSs of various technologies and autonomy levels.
Autonomous systems are a complex integration of human intelligence supervising machine automation to adapt to unforeseen events encountered during operations. Missions are becoming more complex and require ever-increasing autonomous system to adapt to varying unknown situations. Although significant work has been undertaken, conventional SA assessment schemas are suited for later testing phases. An algorithmic relationship between the two major system components, human supervisor and unmanned machines, provides a tradeoff study capability to define requirements and assess complex architectures during early development phases.