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Multi-Agent Anomaly Resolution System (MaARS)

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC22PB230
Agency Tracking Number: 222569
Amount: $149,928.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T10
Solicitation Number: STTR_22_P1
Timeline
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-07-15
Award End Date (Contract End Date): 2023-08-25
Small Business Information
100 Northeast Interstate 410 Loop #520
San Antonio, TX 78216-4727
United States
DUNS: 193786014
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephen Hart
 (281) 678-4194
 swhart@traclabs.com
Business Contact
 Stephen Hart
Phone: (281) 678-4194
Email: swhart@traclabs.com
Research Institution
 Texas A&M Engineering Experiment Station
 
7607 Eastmark Drive
College Station, TX 77840-3124
United States

 Nonprofit College or University
Abstract

The goal of this effort is to develop the Multi-agent Anomaly Resolution System (MaARS), which will provide NASA with an Automated Fault Detection, Diagnostics and Recovery (AFDD-R) system assisting in maintaining the health of remote habitats during dormancy. Managing remote habitats, with limited earth support and limited communications such as the Artemis mission, will require novel approaches in which NASA maintains a habitat. Furthermore, remote habitats will be subject to extremely harsh operating conditions such as constant exposure to radiation, micrometeorites, lunar dust, and other hazards. To address these challenges MaARS will use machine learning models to provide advanced anomaly detection and resolution capabilities and use automated and robotic systems to recover from an anomaly.TRACLabs and Texas Aamp;M University (TAMU) are well-placed to provide a solution to this topic and address the challenges associated with providing autonomous capabilities for AFDD-R. Both entities have long histories of developing and deploying software tools that make the remote operation of autonomous systems easier and more intuitive. TRACLabs and TAMU have also identified multiple customers both within and outside of NASA that would be interested in using the MaARS system to achieve their objectives.

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

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