NASA STTR 2022-I Solicitation

Proposal Summary

Proposal Information

Proposal Number:
22-1- T10.04-1898
Subtopic Title:
Autonomous Systems and Operations for the Lunar Orbital Platform-Gateway
Proposal Title:
Demonstration of Space-Qualified Environmental Evaluation Drones with Wireless Intelligent Networked Data Processing (SPEEDWINDs)

Small Business Concern

   
Firm:
          
Nanohmics, Inc.
          
   
Address:
          
6201 East Oltorf Street, Suite 400, Austin, TX 78741 - 7509
          
   
Phone:
          
(512) 389-9990                                                                                                                                                                                
          

Research Institution:

   
Name:
          
Duke University
          
   
Address:
          
103 Allen Bldg, NC 27708 - 3399
          
   
Phone:
          
(919) 684-3030                                                                                                                                                                                
          

Principal Investigator:

   
Name:
          
Dr. John Sarik
          
   
E-mail:
          
jsarik@nanohmics.com
          
   
Address:
          
6201 East Oltorf Street, Suite 400, TX 78741 - 7509
          
   
Phone:
          
(832) 293-3906                                                                                                                                                                                
          

Business Official:

   
Name:
          
Mike Mayo
          
   
E-mail:
          
mmayo@nanohmics.com
          
   
Address:
          
6201 East Oltorf Street, Suite 400, TX 78741 - 7509
          
   
Phone:
          
(512) 389-9990                                                                                                                                                                                
          

Summary Details:

   
Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 2
End: 4
          
          
     
Technical Abstract (Limit 2000 characters, approximately 200 words):

Deploying autonomous environmental monitoring hardware on Gateway is challenging because of the harsh radiation environment. Existing unmanned aerial vehicles (UAVs) used for environmental monitoring on the International Space Station (ISS) use commercial-off-the-shelf (COTS) components. To enable continuous unsupervised environmental monitoring at Gateway, Nanohmics Inc., in collaboration with Dr. Maria Gorlatova at Duke University, proposes to demonstrate SPace-Qualified Environmental Evaluation Drones with Wireless Intelligent Networked Data Processing (SPEEDWINDs). Each SPEEDWIND will have four key components: 1) a core control system built with inherently radiation hardened components, 2) a high performance COTS embedded system to enable machine learning, 3) an environmental monitoring payload with customized mission specific sensors, and 4) a wireless transceiver with adaptive networking to enable distributed operation. In Phase I, Nanohmics proposes to design a benchtop SPEEDWIND testbed combines space qualified and COTS components and demonstrate the ability of the testbed to perform distributed machine learning, such as processing fluorescence spectroscopy data, in a simulated Gateway environment.

          
          
     
Potential NASA Applications (Limit 1500 characters, approximately 150 words):

The SPEEDWIND platform can enable rapid deployment of autonomous, intelligent UAVs with mission specific payloads. The ability to perform complex machine learning tasks on system decreases uplink and downlink bandwidth requirements.

          
          
     
Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

The SPEEDWIND platform has multiple applications in the medical, defense, and industrial markets. For example, this technology could be applied to healthcare environments to perform autonomous, real-time microbial mapping with the goal of reducing healthcare-associated infections (HAIs).

          
          
     
Duration:     13
          
          

Form Generated on 05/25/2022 16:20:04