autonomous systems design for combat uav operations
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Blue Bear Systems Research 1
Autonomous Systems Design For CombatAutonomous Systems Design For CombatUAV OperationsUAV Operations
Dr Phill Smith
Blue Bear Systems Research30A, Market SquareSandyBedfordshire, SG19 1LAUnited Kingdom
Email: [email protected]
Tel: +44-(0)1767-699486
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Combat UAV Autonomy DriversCombat UAV Autonomy Drivers
• Future combat UAVs are in general expected to beused in particularly dangerous situations.
• Typical examples:– Suppression of Enemy Air Defences – SEAD– Battle Damage Assessment (BDA)
– Air-to-air combat
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But……But……
• It is mandatory that military commanders retain at leastthe same level of operational effectiveness as withcurrent manned systems
• There exists a tacit assumption that what we need is….
“Platform Autonomy”
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Combat UAV AutonomyCombat UAV Autonomy
• For highly autonomous vehicles there are numerousissues in:– Situational awareness– Rules Of Engagement– Accountability
– Flight certification
• These points will need to be resolved if Combat UAVsare to be employed successfully, but are morephilosophical than technological
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Autonomy Will Also Provide Payoff Where:Autonomy Will Also Provide Payoff Where:
• Emission control requirements are in effect• Jamming/system failure/line of sight communications
result in loss of datalink
• An operator is required to command/supervise multipleUAVs
• Operator workload is high
• The operator may have other tasks to perform– e.g. as the pilot of another aircraft
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Soar/Simulink Interface:Soar/Simulink Interface:
• Self-configuring viaSoar rules
• Use of the Real-TimeWorkshop
• Applicable to anyengineering application
• Allows immediateapplication orienteddesign to begin
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Representative ExampleRepresentative Example
• Searching a network of roads for a vehicle ofinterest….
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Searching a Road NetworkSearching a Road Network
a
b
c
f
d
e
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T=0 secT=0 sec
Target sightedTarget sighted10 minutes ago10 minutes ago
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T=30 secT=30 sec
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T=60 secT=60 sec
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T=90secT=90sec
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T=120 secT=120 sec
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T=150 secT=150 sec
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T=180 secT=180 sec
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T=210 secT=210 sec
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T=240 secT=240 sec
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Real-World DataReal-World Data
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Initial AnalysisInitial Analysis
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Multi-Agent SystemsMulti-Agent Systems
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Upcoming Preliminary Flight TestUpcoming Preliminary Flight Test
• To be carried out over the next 2 months
• Aim:– To function Soar in a representative engineering environment
– To demonstrate some basic functionality
• Platform:– A tactical class UAV
– 2m wingspan
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ConclusionsConclusions
• Autonomy will be required in future UAV systems
• A generally accepted definition of level of autonomy is required
• Typical benefits to be accrued from practical AI techniques will be:– Problem solving– Planning– Anticipation– Hypothesis forming– Learning
• The Soar AI language:– Provides a rich suite of tools for researching functional requirements of advanced
autonomous systems– Lends itself to the practical demonstration of advanced concepts
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• Questions?