SBIR/STTR Research Award

Adaptive Deep Onboard Reinforcement Bidirectional Learning System

Award identifier b231b8f57283a018e1982b609bf2bc1d066cd5a7b1f0cf7bf3dd1410f6f4dad0Awarding agency National Aeronautics and Space Administration

Award amount

$149,996

Program and phase

SBIR · Phase I

Award year

2022

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
INTELLISENSE SYSTEMS INC
Proposal award date
2022-07-22
Contract end date
2023-01-25
UEI
C4Y5CNN55L37
Solicitation number
SBIR_22_P1
Topic code
H6

Research abstract

NASA is seeking innovative neuromorphic processing methods and tools to enable autonomous space operations on platforms constrained by size, weight, and power (SWaP). To address this need, Intellisense Systems, Inc. (Intellisense) proposes to develop an Adaptive Deep Onboard Reinforcement Bidirectional Learning (ADORBL) processor based on neuromorphic processing and its efficient implementation on neuromorphic computing hardware. Neuromorphic processors are a key enabler to the cognitive radio and image processing system architecture, which play a larger role in mitigating complexity and reducing autonomous operations costs as communications and control become complex. ADORBL is a low-SWaP neuromorphic processing solution consisting of multispectral and/or synthetic aperture radar (SAR) data acquisition and an onboard computer running the neural network algorithms. The implementation of artificial intelligence and machine learning enables ADORBL to choose processing configurations and adjust for impairments and failures. Due to its speed, energy efficiency, and higher performance for processing, ADORBL processes raw images, finds potential targets and thus allows for autonomous missions and can easily integrate into SWaP-constrained platforms in spacecraft and robotics to support NASA missions to establish a lunar presence, to visit asteroids, and to extend human reach to Mars. In Phase I, we will develop the CONOPS and key algorithms, integrate a Phase I ADORBL processing prototype to demonstrate its feasibility, and develop a Phase II plan with a path forward. In Phase II, ADORBL will be further matured, implemented on available commercial neuromorphic computing chips, and then integrated into a Phase II working prototype along with documentation and tools necessary for NASA to use the product and modify and use the software. The Phase II prototype will be tested and delivered to NASA to demonstrate for applications to CubeSat, SmallSat, and rover flights.

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

337 SBIR/STTR records share this UEI (2014–2026). Reported award amounts total $162,560,474. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Homeland Security, Department of Energy, Department of Commerce, Department of Agriculture

Agency intelligence

National Aeronautics and Space Administration

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