SBIR/STTR Research Award

Training Associate for Maintenance Informatics (TAMI)

Award identifier c328766e8dc8ad034176ee44c86184be4650358d62ba7b793701572ea636191dAwarding agency Department of Defense · Air Force

Award amount

$999,664

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CHI SYSTEMS, INC
Proposal award date
2021-12-15
Contract end date
2023-06-10
UEI
FSS6NMQ4HKL5
Solicitation number
21.2
Topic code
AF212-D005

Research abstract

Military personnel will continue to partner with autonomous systems with increasing sophistication and complexity.  The training of personnel in tandem with autonomous system model training would provide opportunities to explore human-system co-learning dynamics.  This could enable the development of a system that can become an autonomous study partner that could help the trainee acquire new knowledge, learn the strengths and weaknesses of the trainee, and could ultimately shorten the trainee’s time to proficiency.  This co-learning approach may also serve as a mechanism to build trust between the trainee and the system.  The opportunity exists to develop and persist Artificial Intelligence and Machine Learning (AI/ML) agents within DoD cloud infrastructure that can follow and assist a service member in training and as a job aid in their initial assignments.  CHI Systems has previously developed three technologies that can be leveraged in this pursuit.  First, the Narrative Based Reasoning Engine (NBR) developed for the Air Force Research Laboratory provides an executable cognitive architecture that represents knowledge and context as narrative or story elements. Second, the Integrated Context Engine (ICE) is a cognitively inspired whiteboarding system for knowledge representation/data fusion and an orchestration tool that allows the NBR to connect to other systems.  Third, the Recognition of Errors and Validation of Input for Self-healing Entry (REVISE) system is a ML-based and context-aware tool that can be dynamically trained to identify errors and recommend corrections in Naval aircraft and shipboard maintenance documentation systems.  The team of CHI Systems and our partner Quantum Improvement Consulting propose to develop a Training Associate for Maintenance Informatics (TAMI) system.  TAMI will be capable of interacting and partnering with the trainee in a naturalistic way in training and work contexts.  TAMI will learn in an evolutionary fashion with the trainee and provide a study partner capability.  Through interactions and built-in assessments, TAMI could begin to understand the strengths and weaknesses in the trainee’s knowledge.  We feel that TAMI can ultimately follow a trainee through primary training and follow a servicemember during their apprenticeship.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

170 SBIR/STTR records share this UEI (1986–2024). Reported award amounts total $54,090,734. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Health and Human Services, National Science Foundation, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

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