SBIR/STTR Research Award

IN-PASS: Intelligent Navigation, Planning, and Autonomy for Swarm Systems

Award identifier 26b24861cb7ee61890807d87231365b087a1c308ab7fefe7980db64f6acfe8e4Awarding agency National Aeronautics and Space Administration

Award amount

$124,805

Program and phase

STTR · Phase I

Award year

2020

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ORBIT LOGIC INCORPORATED
Proposal award date
2020-08-12
Contract end date
2021-09-30
UEI
EHX1E95M1144
Solicitation number
STTR_20_P1
Topic code
T4

Research abstract

Orbit Logic is teamed with the University of Colorado at Boulder to develop Intelligent Navigation, Planning, and Autonomy for Swarm Systems (IN-PASS). The proposed technology builds on proven software ndash; to enable flexible composition of collaborative mission concepts assessed in an open simulation environment. The focus of IN-PASS is rover autonomous navigation ndash; specifically development of onboard algorithms to reduce uncertainty in rover localization minimizing use of onboard resources. The solution will apply to a heterogeneous swarm of lunar orbital and surface assets.nbsp; For example, a constellation of CubeSats provides GPS-like navigation services to aid onboard estimation of rover state to inform onboard planning. When a limited number of satellites are deployed, the constellation cannot continually provide measurement support; hence the system will use Event-Trigged Distributed Data Fusion (ET-DDF) between swarm assets to maintain a high-degree of state knowledge with minimal data exchange. Team awareness is critical to coordinating activities to achieve mission goals while optimizing use of asset resources and responding to dynamic events. Mission plan optimization determines resources to engage during certain mission phases to ensure success. This is particularly true for inter-asset communications or localization, which employ hardware components and processing that utilize significant stored energy. This STTR focuses on development of onboard planning algorithms based on formal methods that determine the degree of resource utilization required to successfully achieve mission activities. Earth-based mission control operators or astronauts participating in-the-loop with these swarms will specify mission goals. The proposed research considers the most effective interaction between humans and swarm elements including specification of goals, interactive feedback on viability of the humanrsquo;s requests, and ultimate delivery of the resulting science to the human.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

24 SBIR/STTR records share this UEI (2010–2022). Reported award amounts total $10,067,393. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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