Armstrong Flight Research Center Awarded Contracts - Machine Learning | Federal Compass

Armstrong Flight Research Center Awarded Contracts - Machine Learning

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NNX12AR18A - DEVELOPMENT OF THE "WHERE-TO-LAND" DECISION FUNCTION FOR AN EXPERT PILOTING SYSTEMS (EPS) IN MAN-RATED AUTONOMOUS AIR VEHICLES. CURRENT AIRCRAFT HAVE THE ABILITY TO AUTOMATICALLY PERFORM OPERATIONS FROM TAKEOFF TO LANDING. HOWEVER, THE AGILITY, FLEXIBILITY, AND CRITICAL THINKING REQUIRED TO RESPOND AUTONOMOUSLY TO POTENTIALLY UNFORESEEN SITUATIONS IN A RATIONAL MANNER IS A TASK WHICH IS DIFFICULT TO CODIFY AND THUS DOES NOT CURRENTLY EXIST. THEREFORE CURRENTLY, HIGHLY TRAINED PILOTS ARE REQUIRED TO PERFORM THIS FUNCTION. HOWEVER, AS THE DOMAIN OF AIR VEHICLES IS EXTENDED TO WIDESPREAD USAGE IN UNMANNED AND PERSONAL AIR VEHICLES, THERE VERY LIKELY WILL NOT BE SUFFICIENT NUMBERS OF EXPERT PILOTS TO FULFILL DEMAND. FORTUNATELY, ADVANCES IN COMPUTING TECHNOLOGIES, GEOGRAPHICAL INFORMATION SYSTEMS, INFORMATION RETRIEVAL AND SEARCH ALGORITHMS, AND MACHINE LEARNING MAY SOON ALLOW FOR COMPUTING SYSTEMS TO HAVE THE ABILITY TO PERFORM THESE DIFFICULT FUNCTIONS AT THE SKILL LEVEL OF AN EXPERT PILOT. DEVELOPMENT OF THESE AUTONOMOUS EXPERT PILOTING SYSTEMS (EPS) WILL REQUIRE INTEGRATION OF SEVERAL FUNCTIONS DESIGNED TO MAKE CRITICAL DECISIONS AND WILL MOST LIKELY NEED NEW CONCEPTS FOR CERTIFICATION. THIS PROPOSAL SEEKS TO DEVELOP ALGORITHMS SPECIFICALLY DESIGNED TO MAKE DECISIONS BASED ON WHERE TO LAND A POTENTIALLY CRIPPLED AIRCRAFT WITH THE SKILL OF AN EXPERT PILOT, AND DO SO UNDER THE AUTHORITY OF CERTIFIABLE SAFETY CRITICAL OBSTACLE AND TERRAIN COLLISION AVOIDANCE SYSTEMS TO EASE EPS CERTIFICATION BURDENS.
Cooperative Agreement
Contractor
University of California (REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
09/12/2012
Obligated Amount
$58.2k
NNX09CA24C - VEHICLE HEALTH MANAGEMENT AND THE SPACE VEHICLE LIFECYCLE IN A SUCCESSFUL PHASE 1 PROJECT FOR NASA SBIR TOPIC A1.05, "DATA MINING FOR INTEGRATED VEHICLE HEALTH MANAGEMENT," MICHIGAN AEROSPACE CORPORATION (MAC) DEMONSTRATED ITS SPADE ANOMALY DETECTION SOFTWARE TO KEY PERSONNEL IN NASA'S INTELLIGENT SYSTEMS DIVISION (ISD) AND WITH DATA FROM OUR PARTNERS AT BOEING, SPACEX AND GMV SPACE SYSTEMS. THE FEEDBACK FROM THESE DEMONSTRATIONS WAS USED TO ESTABLISH FUTURE DEVELOPMENT DIRECTIONS FOR PHASE 2. PHASE 2 WILL CONSIST OF THREE MAJOR EFFORTS: 1) THE DESIGN AND IMPLEMENTATION OF THE TAIGA SYSTEM, A NEXT-GENERATION ENHANCEMENT OF THE SPADE SOFTWARE, 2) AN INVESTIGATION INTO COMBINING COMPLEMENTARY FUNCTIONALITY OF TAIGA WITH EXISTING CODE AT ISD INCLUDING THE INDUCTIVE MODELING SYSTEM, MARIANA AND OTHERS, AND 3) THE IMPLEMENTATION OF A PROTOTYPE AUTOMATIC PARALLELIZER, IN COOPERATION WITH SUBCONTRACTOR OPTILLEL SOLUTIONS, FOR A SUBSET OF C++ USEFUL FOR HARDWARE ACCELERATION OF MACHINE LEARNING APPLICATIONS. THE SCOPE OF THE INTERACTION WITH RESEARCHERS IN NASA ISD WILL BE TO EXPLORE THE RELATIONSHIPS BETWEEN IMS AND TAIGA AND GAUGE BENEFITS SUCH A DATA HANDLING, FEATURE REDUCTION, VISUALIZATION AND EXPLAINABILITY. WE WILL ALSO INVESTIGATE HETEROGENEOUS ENSEMBLE METHODS BY ANALYZING THE MARIANA SYSTEM. OPTILLEL'S C++ PARALLELIZER WILL REDUCE MAC'S DEVELOPMENT COSTS FOR PARALLELIZING C++ CODE FOR MULTI-CORE CHIPS AND CLUSTERS. THIS EFFORT WILL BUILD ON OPTILLEL'S EXISTING BODY OF WORK THAT SUPPORTS GRAPHICAL PROGRAMMING LANGUAGES, AND WILL EXTEND THEIR TECHNOLOGY TO THE ANALYSIS AND PARALLELIZATION OF C++ CODE. BOTH THE TAIGA SYSTEM AND OPTILLEL'S PROTOTYPE HAVE SIGNIFICANT COMMERCIALIZATION POTENTIAL IN INDUSTRIES AS DIVERSE AS CHEMICAL, PHARMACEUTICAL, MANUFACTURING AND AEROSPACE.
Definitive Contract - 541712 Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
Contractor
MICHIGAN AEROSPACE CORPORATION
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
12/22/2008
Obligated Amount
$600k

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