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AMBUSH AI-based Ping Strategies in Multistatic Active Sonar

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0699
Agency Tracking Number: N211-011-0155
Amount: $146,405.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N211-011
Solicitation Number: 21.1
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-07-27
Award End Date (Contract End Date): 2022-01-24
Small Business Information
330 Billerica Road Ste 200
CHELMSFORD, MA 01824-0440
United States
DUNS: 796010411
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Panos Lekkas
 (978) 856-4138
Business Contact
 Collette Jolliffe
Phone: (978) 856-4158
Research Institution

Triton proposes to develop AMBUSH, a neurosymbolic AI-based system that will enable the expandable, scalable, and systematic research of formal logic-based and reinforcement-learning algorithms for the exploration of intelligent ping strategies in realistic multistatic active sonar fields operating in pursuit of a reacting and intelligent target that engages in rationally decided detection evasion maneuvers. During Phase I, a proof-of-concept version of the AMBUSH AI system will be developed and demonstrated as a simulation-environment-based ping strategy evaluation tool. It will model a realistic multistatic active sonar field. The active sonobuoy field model and its programmable waveform capabilities will be augmented by high-fidelity location-specific underwater sound propagation modeling. The AMBUSH system’s AI will then generate and exercise multiple reinforcement learning-based techniques to automatically plan, schedule and monitor the progress of intelligent ping strategies in pursuit of its objective, which is to shorten the detect-to-kill chain time. Moreover, the target will be model-programmed so as to exhibit smart reactive behavior.

* Information listed above is at the time of submission. *

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