MTRI INC — Department of Defense SBIR Phase I: DTRA212-002
MTRI INC — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $167,410. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code DTRA212-002 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $167,410
- Agency
- Department of Defense · Defense Threat Reduction Agency
- Program / Phase
- SBIR · Phase I
- Topic
- DTRA212-002
- Solicitation
- 21.2
- NAICS
- —
- Place of performance
- MI
- Period
- 2022-03-28 → 2022-10-31
Description
Global Optimization of Graph Learning Structures (GOGLS) is a platform- agnostic method of globally optimizing search graphs from individual autonomous agents using techniques derived from federated learning. The GOGLS mission and focus will be to provide a learning framework for robots to share search information and in essence, see through the eyes of their neighbors. The GOGLS system relies on passing and fusing the latest high level model of the environment between robotic autonomous systems instead of the low level data. This allows the group to explore and learn about the environment in a federated learning inspired manner without the need for large online data transfers.