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

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC22CA022
Agency Tracking Number: 205760
Amount: $749,691.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T4
Solicitation Number: STTR_20_P2
Solicitation Year: 2020
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-02-28
Award End Date (Contract End Date): 2024-02-27
Small Business Information
7852 Walker Drive
Greenbelt, MD 20770-3208
United States
DUNS: 110592016
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kenneth Center
 (240) 391-3310
Business Contact
 Kenneth Center
Phone: (240) 391-3310
Research Institution
 Regents of the University of Colorado
Boulder, CO 80309-1058
United States

 Nonprofit College or University

Orbit Logic is teamed with the University of Colorado Boulder to develop the Intelligent Navigation, Planning, and Autonomy for Swarm Systems (IN-PASS) Solution, which builds on Orbit Logicrsquo;s proven Autonomous Planning System (APS) decentralized planning framework to enable the configuration and execution of collaborative mission concepts. Assessments can be performed completely virtually within an open simulation environment, or can be deployed to physical assets in a testbed or operational environment.We apply IN-PASS to heterogeneous swarms of Lunar orbital and surface assets.nbsp; For example, the satellite constellation overhead plans sensor collections in support of multiple objectives ndash; surface asset localization and surface chemistry detection. APS plans the delivery of data products to a surface asset with high computing capacity, where algorithms are invoked and output the location of rovers and areas of interest (AOIs) for contact science. Location measurements allow Decentralized Data Fusion to maintain shared team awareness - critical to the teamrsquo;s ability to autonomously coordinate. AOI events are trigger events for rovers to navigate to the location. A formal methods approach to onboard planning is employed on the rover assets that utilizes a Markov Data Process to balance performance, resource usage and safety. This is particularly important for inter-asset communications or localization - operational functions that utilize significant stored energy.Astronauts can participate in-the-loop with these swarms using devices running interactive user interfaces that allow them to a) specify mission goals, b) receive feedback on the satisfaction of their requests as the team performs the associated tasks, c) receive and display the end data associated with their requests, and d) actually collaborate with the autonomous robots by electing to assume tasks they are well suited to perform.

* Information listed above is at the time of submission. *

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