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Collaborative Sensing and Mapping for IVA Robots

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC21C0288
Agency Tracking Number: 211958
Amount: $123,634.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: Z5
Solicitation Number: SBIR_21_P1
Timeline
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-06
Award End Date (Contract End Date): 2021-11-19
Small Business Information
2309 Renard Place Southeast, Suite 200
Albuquerque, NM 87106-4284
United States
DUNS: 963612291
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Walter Harper
 (650) 210-6184
 walter.k.harper@nasa.gov
Business Contact
 Joy Colucci
Phone: (650) 207-9378
Email: joy.colucci@metis-tech.com
Research Institution
N/A
Abstract

Metis Technology Solutions proposes a collaborative sensing and environmental modeling approach for IVA robots such as Astrobee and Robonaut 2. IVA robots are intended to autonomously manage habitats and spacecraft, such as Gateway. nbsp;To do this effectively, IVA robots must be able to collect, fuse, and share information with other IVA robots, as any human team would do to accomplish a task. Metis proposes an online collaborative process or a service occurring on the spacecraft, where any IVA robot, both free flyer and humanoid robots, can contribute new data to a central server for data fusion. The fused data can then be modeled, analyzed, and shared with the other IVA robots through the same central server, thus allowing IVA robots to manage and navigate independently, and as part of a team. Metis proposes to do this by first enabling Collaborative SLAM for Astrobee, an on-line vision-based mapping process that not only establishes the proposed architecture, but also augments Astrobee with the ability to update SLAM maps without the need for ground station involvement. In addition, fusion and co-registration of other IVA robot sensor data (i.e. CO2 data, acoustics data) with SLAM maps will be investigated as they are key to spacecraft maintenance tasks. The technology developed not only solves an operational limitation for Astrobee, but also fills technical gaps identified by the proposed Game Changing Development (GCD) Integrated System for Autonomous and Adaptive Caretaking (ISAAC) project.nbsp;nbsp;

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

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