Autonomous Systems

A DYNAMIC OPEN SOURCE MACHINE LEARNING SOFTWARE CORPUS FOR DARPA D3M: DATA-DRIVEN DISCOVERY OF MODELS THE CONTRACT IS THE SPONSORING AGREEMENT BETWEEN THE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA) AND THE CALIFORNIA INSTITUTE OF TECHNOLOGY (CONTRACTOR), A PRIVATE NONPROFIT EDUCATIONAL INSTITUTION, WHICH ESTABLISHES THE RELATIONSHIP FOR THE OPERATION OF THE FEDERALLY FUNDED RESEARCH AND DEVELOPMENT CENTER (FFRDC) KNOWN AS THE JET PROPULSION LABORATORY. THE CONTRACTOR, JPL, IS REQUIRED TO PERFORM WORK THAT IS DESIGNATED IN TASK ORDERS ISSUED BY THE NASA MANAGEMENT OFFICE (NMO) CONTRACTING OFFICERS. NASA - SPONSORED WORK: JPL'S PRIMARY MISSION IS TO SUPPORT THE NASA SCIENCE MISSION DIRECTORATE (SMD) IN CARRYING OUT THE SPECIFIC OBJECTIVES IDENTIFIED IN THE SMD SCIENCE PLAN. THE FOUR BROAD SCIENTIFIC AREAS ARE: EARTH SCIENCE, PLANETARY SCIENCE, HELIOPHYSICS, AND ASTROPHYSICS. IN PERFORMANCE OF THIS CONTRACT, JPL SHALL: 1) SUPPLY A BROAD BASE OF SCIENTIFIC AND TECHNICAL CAPABILITIES RELEVANT TO NASA PROGRAM AND PROJECT RESPONSIBILITIES AND ASSIGNMENTS. 2) FOSTER ITS UNIQUE RELATIONSHIP WITH A TOP-TIER UNIVERSITY TO FACILITATE THE INVOLVEMENT OF SCIENTISTS, ENGINEERS, AND STUDENTS FROM THE UNIVERSITY AND RESEARCH COMMUNITIES IN NASA MISSION AND IN SUPPORTING OTHER GOVERNMENT AGENCIES. 3) SUPPORT NASA IN ENABLING PROGRAM AND INSTITUTIONAL CAPABILITIES. 4) DEVELOP SPACECRAFT AND INSTRUMENTS THAT ARE SENT TO VARIOUS DESTINATIONS WITH OUR SOLAR SYSTEM, INCLUDING EARTH ORBIT, PLANETS, PLANETARY SATELLITES, ASTEROIDS, AND COMETS. THESE MISSIONS MAY BE ORBITERS, LANDERS, OR ROVERS, AND TYPICALLY INCLUDE CUTTING-EDGE TECHNOLOGIES REQUIRED TO MEET SCIENTIFIC REQUIREMENTS. 5) PERFORM PROJECT TASKS INVOLVING: (I) AUTONOMOUS DEEP-SPACE, INNER-SPACE AND EARTH-ORBITING SPACECRAFT OR MAJOR SUBSYSTEMS, (II) EXPERIMENTS, INSTRUMENTS, OR OTHER DEVICES WHICH MAY BE CARRIED AS PAYLOAD ON SPACECRAFTS IN MISSIONS MANAGED BY OTHERS, AND/OR (III) GROUND-BASED SYSTEMS. 6) BEYOND ITS PRIMARY MISSION, JPL MAY PERFORM WORK FOR OTHER NASA MISSION DIRECTORATES OR OFFICES. 7) JPL IS ALSO RESPONSIBLE FOR THE OPERATION, RESEARCH, TECHNOLOGY INSERTION, AND MANAGEMENT OF NASA S DEEP SPACE NETWORK TO PROVIDE TELECOMMUNICATION AND OPERATION SERVICES, INCLUDING DATA ACQUISITION AND DATA DELIVERY REQUIRED TO MEET ESTABLISHED AGENCY OBJECTIVES. 8) JPL IS ALSO REQUIRED TO MAINTAIN AND CONDUCT AN EDUCATION PROGRAM IN CLOSE COORDINATION WITH THE NASA HEADQUARTERS EDUCATION OFFICE, THE ACADEMIC COMMUNITY AT LARGE, AND IN SUPPORT TO NASA STRATEGIC OBJECTIVES TO IMPROVE STUDENT RETENTION IN THE SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) DISCIPLINES. WORK FOR NON-NASA SPONSORS: JPL MAY PERFORM WORK FOR NON-NASA SPONSORS. THIS WORK WILL BE DESIGNATED IN TASK ORDERS ISSUED BY NMO CONTRACTING OFFICERS BASED ON TASK PLANS INITIATED BY THE CONTRACTOR.

COMPETENCY-AWARE MACHINE LEARNING (CAML)- THE PURPOSE OF THE CAML PROGRAM IS TO IMPROVE HUMAN-MACHINE TEAMING CAPABILITIES AND THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING-ENABLED AUTONOMOUS

COMPETENCY-AWARE MACHINE LEARNING (CAML). THE CAML PROGRAM PROPOSES TO IMPROVE HUMAN-MACHINE TEAMING AND REALIZATION OF THE TASK SYNERGIES EXPECTED OF AUTONOMOUS SYSTEMS.

DEEP NIGHT VISION MACHINE LEARNING ALGORITHM FOR AUTONOMOUS DRONE SWARM NAVIGATION AND SENSING TO ADDRESS A DEMONSTRATED NEED FOR ADVANCED, AUTONOMOUS UAS NAVIGATI0ON AND SENSING CAPABILITIES IN VERY LOW-LIGHT ENVIRONMENTS.

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, AND MACHINE LEARNING FOR MUNITIONS AUTONOMOUS TARGET ACQUISITION

OFFLINE LEARNING AND COUNTER ARTIFICIAL INTELLIGENCE FOR AUTONOMOUS AIRCRAFT COMBAT OPERATIONS (AACO) TACTICAL FUNDING INCREASE (TACFI)

AUTONOMOUS FAULT MANAGEMENT FOR HYPERSONIC VEHICLES USING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING.

MACHINE LEARNING SECURITY ATTACK WORKBENCH FOR RED TEAMING OF AUTONOMOUS ASSETS

DEDICATED COUNTER UNMANNED AERIAL SYSTEMS OPPOSING FORCES UTILIZING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING: CORTEX

THIS TASK ORDER IS FOR A BROAD AGENCY ANNOUNCEMENT (BAA) FOR RESEARCH INTO ACCELERATING HUMAN AUGMENTATION THROUGH ARTIFICIAL INTELLIGENCE AND AUTONOMOUS SYSTEMS. BAA SOLICITATION NUMBER W911NF-17-S-0003.

ARTIFICIAL INTELLIGENCE (AI) ENHANCED BATTLE DAMAGE ASSESSMENT AND BALLISTIC PREDICTION FOR MEDIUM RANGE UNMANNED AERIAL SYSTEM (UAS)

PROVIDE SMALL UNMANNED AIRCRAFT SYSTEM GEO-LOCATION AND ASSURED POSITIONING NAVIGATION TIMING IN GLOBAL POSITIONING SYSTEM-DENIED ENVIRONMENTS USING MACHINE LEARNING

EDGE ARTIFICIAL INTELLIGENCE PLATFORM FOR SPACE AND UNMANNED AERIAL IMAGERY INTELLIGENCE

A PLATFORM FOR MISSION ADAPTIVE ARTIFICIAL INTELLIGENCE FOR NETWORKS OF AUTONOMOUS SYSTEMS IN CONTESTED ENVIRONMENTS

ARTIFICIAL INTELLIGENCE DRIVEN AUTONOMOUS EXPERIMENTATION OF NOVEL MATERIALS FOR ACCELERATED HYPERSONIC DEVELOPMENT

APPLICATION OF JPL MACHINE LEARNING TECHNIQUES TO CHEVRON PROBLEMS IN ALARM, EVENT, AND PROCESS MANAGEMENT THE CONTRACT IS THE SPONSORING AGREEMENT BETWEEN THE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA) AND THE CALIFORNIA INSTITUTE OF TECHNOLOGY (CONTRACTOR), A PRIVATE NONPROFIT EDUCATIONAL INSTITUTION, WHICH ESTABLISHES THE RELATIONSHIP FOR THE OPERATION OF THE FEDERALLY FUNDED RESEARCH AND DEVELOPMENT CENTER (FFRDC) KNOWN AS THE JET PROPULSION LABORATORY. THE CONTRACTOR, JPL, IS REQUIRED TO PERFORM WORK THAT IS DESIGNATED IN TASK ORDERS ISSUED BY THE NASA MANAGEMENT OFFICE (NMO) CONTRACTING OFFICERS. NASA - SPONSORED WORK: JPL'S PRIMARY MISSION IS TO SUPPORT THE NASA SCIENCE MISSION DIRECTORATE (SMD) IN CARRYING OUT THE SPECIFIC OBJECTIVES IDENTIFIED IN THE SMD SCIENCE PLAN. THE FOUR BROAD SCIENTIFIC AREAS ARE: EARTH SCIENCE, PLANETARY SCIENCE, HELIOPHYSICS, AND ASTROPHYSICS. IN PERFORMANCE OF THIS CONTRACT, JPL SHALL: 1) SUPPLY A BROAD BASE OF SCIENTIFIC AND TECHNICAL CAPABILITIES RELEVANT TO NASA PROGRAM AND PROJECT RESPONSIBILITIES AND ASSIGNMENTS. 2) FOSTER ITS UNIQUE RELATIONSHIP WITH A TOP-TIER UNIVERSITY TO FACILITATE THE INVOLVEMENT OF SCIENTISTS, ENGINEERS, AND STUDENTS FROM THE UNIVERSITY AND RESEARCH COMMUNITIES IN NASA MISSION AND IN SUPPORTING OTHER GOVERNMENT AGENCIES. 3) SUPPORT NASA IN ENABLING PROGRAM AND INSTITUTIONAL CAPABILITIES. 4) DEVELOP SPACECRAFT AND INSTRUMENTS THAT ARE SENT TO VARIOUS DESTINATIONS WITH OUR SOLAR SYSTEM, INCLUDING EARTH ORBIT, PLANETS, PLANETARY SATELLITES, ASTEROIDS, AND COMETS. THESE MISSIONS MAY BE ORBITERS, LANDERS, OR ROVERS, AND TYPICALLY INCLUDE CUTTING-EDGE TECHNOLOGIES REQUIRED TO MEET SCIENTIFIC REQUIREMENTS. 5) PERFORM PROJECT TASKS INVOLVING: (I) AUTONOMOUS DEEP-SPACE, INNER-SPACE AND EARTH-ORBITING SPACECRAFT OR MAJOR SUBSYSTEMS, (II) EXPERIMENTS, INSTRUMENTS, OR OTHER DEVICES WHICH MAY BE CARRIED AS PAYLOAD ON SPACECRAFTS IN MISSIONS MANAGED BY OTHERS, AND/OR (III) GROUND-BASED SYSTEMS. 6) BEYOND ITS PRIMARY MISSION, JPL MAY PERFORM WORK FOR OTHER NASA MISSION DIRECTORATES OR OFFICES. 7) JPL IS ALSO RESPONSIBLE FOR THE OPERATION, RESEARCH, TECHNOLOGY INSERTION, AND MANAGEMENT OF NASA S DEEP SPACE NETWORK TO PROVIDE TELECOMMUNICATION AND OPERATION SERVICES, INCLUDING DATA ACQUISITION AND DATA DELIVERY REQUIRED TO MEET ESTABLISHED AGENCY OBJECTIVES. 8) JPL IS ALSO REQUIRED TO MAINTAIN AND CONDUCT AN EDUCATION PROGRAM IN CLOSE COORDINATION WITH THE NASA HEADQUARTERS EDUCATION OFFICE, THE ACADEMIC COMMUNITY AT LARGE, AND IN SUPPORT TO NASA STRATEGIC OBJECTIVES TO IMPROVE STUDENT RETENTION IN THE SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (STEM) DISCIPLINES. WORK FOR NON-NASA SPONSORS: JPL MAY PERFORM WORK FOR NON-NASA SPONSORS. THIS WORK WILL BE DESIGNATED IN TASK ORDERS ISSUED BY NMO CONTRACTING OFFICERS BASED ON TASK PLANS INITIATED BY THE CONTRACTOR.

MULTIPLE THREAT TRACKING AND ANALYSIS (MULT2A) PROGRAM DEFINES A NOVEL MACHINE LEARNING AND DATA FUSION-BASED ARCHITECTURE THAT ENABLES ANALYSTS TO AUTONOMOUSLY IDENTIFY AND ANALYZE MULTIPLE SIMULTANEOUS PERCEIVED THREATS.

INVESTIGATE THE FEASIBILITY OF LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE {GENAI) TO ENABLE AUTONOMOUS COOPERATION AMONG SMALL UNMANNED AERIAL SYSTEMS {SUAS) OPERATING IN DYNAMIC, NETWORK-CONSTRAINED ENVIRONMENTS.

THE STRATEGIC CAPABILITIES OFFICE PHASE I SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM CONTRACT AWARD FOR INTEGRATING AUTONOMOUS SYSTEMS AND ARTIFICIAL INTELLIGENCE / MACHINE LEARNING IN A SYNTHETIC ENVIRONMENT OF THE BATTLESPACE.

AUTONOMOUS TRUSTED ARTIFICIAL INTELLIGENCE INTEGRATED SENSING ROBOTIC SUPEROLEOPHOBIC COATING MAINTENANCE SYSTEM

ARTIFICIAL INTELLIGENCE-DRIVEN TOOL FOR AUTONOMOUS ADVANCED MATERIAL TESTING AND DEVELOPMENT

ROBUST DYNAMIC ENVIRONMENT SENSING FOR AUTONOMOUS ROBOTS WITH ARTIFICIAL INTELLIGENCE DRIVEN FOUR-DIMENSIONAL IMAGING RADARS

SBIR PHASE I PROPOSAL NO. FX237-PCSO1-0730 - SKYLA: ARTIFICIAL INTELLIGENCE (AI) ENABLED SYSTEM TO CONTROL MULTIPLE SMALL UNMANNED AERIAL SYSTEMS (UAS)

AUTONOMOUS ASSET TRACKING SYSTEM (AATS) USING MACHINE LEARNING