Autonomous Systems Design For Combat UAV Operations
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Blue Bear Systems Research 1 Autonomous Systems Design For Combat Autonomous Systems Design For Combat UAV Operations UAV Operations Dr Phill Smith Blue Bear Systems Research 30A, Market Square Sandy Bedfordshire, SG19 1LA United Kingdom Email: [email protected] Tel: +44-(0)1767-699486
Transcript of Autonomous Systems Design For Combat UAV Operations
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?
