SBIR/STTR Research Award

Autonomous Vehicle Audio Translation for Airfield Readiness (AVATAR)

Award identifier 3cb1afb35b1f001e075042395d6cbf1a19b593a7c882cd7c0516e40b0fa88e3eAwarding agency Department of Defense · Navy

Award amount

$139,969

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
MACHINA COGNITA TECHNOLOGIES, INC.
Proposal award date
2023-06-05
Contract end date
2023-12-11
UEI
MP37XZUHS7C3
Solicitation number
23.1
Topic code
N231-025

Research abstract

Machina Cognita Technologies (MCT) proposes the Autonomous Vehicle Audio Translation for Airfield Readiness (AVATAR) system for facilitating communications between airfield control authorities and Foreign Object Debris (FOD) removal vehicles. The system will provide a full conversational loop consisting of human-to-machine statement translation and a corresponding machine-to-human message- generation system. AVATAR will monitor continuous airfield radio signals and identify discrete speech segments despite challenges typical of airfield communications, including overlapping speakers, a variety of accents, and background noise. We will parse, classify, and filter the statements, relaying only those containing Air Traffic Control (ATC) instructions and questions for the relevant FOD-removal vehicles. When responding to ATC or negotiating permission for airfield navigation, the FOD-removal vehicle will have the ability to speak through AVATAR’s statement-generation module. Machine-generated messages will follow all airfield rules and regulations. Statements will be optimized for succinctness and directness to ensure a safe operating environment. The streamlined system will allow ATC to communicate with FOD-removal vehicles without unnecessary delay. In contrast to popular dialogue systems, AVATAR will maintain informational accuracy across conversations. The system will create a repository of situational information, including representations of ongoing movements of other airfield entities, histories of previous ATC statements, and details from daily operations plans. Relevant context from the repository will bolster the human-machine communication loop so that every ATC statement is understood accurately and every FOD-generated message is unambiguous. The system will incorporate geographic coordinates to provide spatial context for each translated statement and assist the FOD robot in averting potential collisions and airfield hazards. Each component of AVATAR will support an open interface with system users to promote compatibility. The system will provide processed data in any format necessary to ensure efficient communication. AVATAR-enabled FOD removal will increase airfield readiness and provide a much safer environment for naval aviation operations.

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

17 SBIR/STTR records share this UEI (2020–2026). Reported award amounts total $12,718,041. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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