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Award details
- Awarding agency
- National Aeronautics and Space Administration
- Branch
- Not reported
- Recipient company
- MAKEL ENGINEERING, INC.
- Proposal award date
- 2020-08-25
- Contract end date
- 2021-03-01
- UEI
- YGVHEZ1D2ZH6
- Solicitation number
- SBIR_20_P1
- Topic code
- Z5
Research abstract
Makel Engineering, Inc. proposes to develop a highly compact Environmental Microsensor Array (EMMA) as a payload for free flying Intra-Vehicular Activity (IVA) robots, such as NASArsquo;s Astrobee. EMMA will include machine learning to translate and interpret onboard sensor data (e.g., chemicals, temperature, humidity, pressure, acoustic, etc.) within the context of planetary facilities. Planned human exploration beyond Earth orbit will rely on an orbiting facility near the Moon, called lsquo;Gatewayrsquo; with intermittent human occupation, requiring robust autonomous inspection and diagnostics tools. EMMArsquo;s sensors and machine learning algorithms will establish nominal background conditions throughout the vehicle, to easily identify anomalies and trigger further action. For instance, fast leak of pressurized lines may be detected quickly via change in noise levels, which would trigger EMMA to look for small changes in pressure level and small changes in chemical signatures, which combined and compared to nominal background conditions using machine learning tools, provide early diagnostics data that would enable quick mitigation actions (e.g., isolation by valves, selectively shutting down systems, etc.).nbsp;Phase I will identify Gateway use cases to define EMMArsquo;s requirements and scenarios for occupied and vacant periods. EMMA onboard COTS autonomous robots (e.g., floor cleaning robots) will navigate staged occupied or vacant rooms, simulating the nominal and fault conditions of real scenarios. Phase I machine learning algorithms will be deployed on external computers.nbsp;Phase II will mature the technology taking from lab demonstration to a series of flyable prototypes which will be delivered to NASA for testing in ongoing microgravity experiments and integration with Astrobee at NASA ground-based testbeds at ARC and JSC during the program.. The machine learning algorithms will be migrated to the embedded processors, resulting in a standalone prototype system.
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
79 SBIR/STTR records share this UEI (1996–2025). Reported award amounts total $27,853,283. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: National Aeronautics and Space Administration, Department of Defense, Department of Energy, Department of Commerce, Department of Homeland Security, National Science Foundation
Agency intelligence
National Aeronautics and Space Administration
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