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Aviation Autonomy Research

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Contract Overview

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The Aviation Autonomy Research subcontract supports prime contractors on projects for the NASA Aeronautics Research Mission Directorate. The primary focus of the work involves developing autonomous flight control algorithms, researching human-machine teaming, and creating verifiable artificial intelligence for flight decks. To achieve these goals, the project leverages expertise in artificial intelligence, machine learning, control theory, and human factors engineering. Key deliverables for this effort include the production of autonomous control software, specialized human-machine teaming interface designs, and comprehensive verification and validation reports. The contract is categorized under NAICS code 541715 and was posted on April 27, 2026.

General Info

NASA subcontract for autonomous flight control, AI research, and human-machine teaming development.

Agency

National Aeronautics And Space Administration → Aeronautics Research Mission Directorate

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of NNH26ZEA001N.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RESEARCH OPPORTUNITIES IN AERONAUTICS (ROA- 2026)

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Timeline

PostedApr 27

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Organization & Contact Information

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AgencyNational Aeronautics And Space Administration → Aeronautics Research Mission Directorate

ContactsNo contacts available

OfficeN/A

Organization / AgencyNational Aeronautics And Space Administration → Aeronautics Research Mission Directorate

Office AddressN/A

ContactsNo contact information available

Full Description

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Performs research for prime contractors on NASA Aeronautics Research Mission Directorate projects. Develops autonomous flight control algorithms, researches human-machine teaming (HMT), and creates verifiable AI for flight decks. Utilizes Artificial Intelligence (AI), Machine Learning (ML), Control Theory, and Human Factors Engineering. Delivers autonomous control software, HMT interface designs, and V&V reports.

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