# Uncrewed Systems

**Agency:** Homeland Security  
**Account:** Research and Development  
**Source document:** United States Coast Guard · p. 7  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/budget/homeland-security/uncrewed-systems  

> **Trust:** parsed from the agency Congressional Justification. Approximate, **not summable**, verify at the cited page.

## Funding ($M)

| Fiscal year | Basis | Amount |
| --- | --- | --- |
| FY2025 | enacted | 4.1 |
| FY2026 | CR annualized | 4.1 |
| FY2027 | request | 3.7 |

The prior-year column is a CR annualized figure, not an enacted appropriation.


## Homeland Security discretionary budget authority (OMB PBDB — authoritative)

FY2027 $91.40B, FY2026 $88.60B. This is the agency total, not a sum of the parsed lines.


## What this funds

Assess Coast Guard-wide Surface and Aviation Asset Allocation and Force Structure (Formerly called: FY 2025 Q1 FY 2028 Q1 4 Validate Capabilities for Next Generation Command Center Development (Includes former project: FY 2024 Q3 FY 2028 Q1 5 Assess Fire Protection and Safety Measures for Lithium Batteries in the Maritime Environment (Formerly FY 2024 Q3 FY 2028 Q4 4 called: Enhance Understanding of Fire Protection and Safety Measures for Alternative Energy in the Assess Use of Sensor Performance Models to Improve SAR Planning. FY 2026 Prototype the SAR Coverage Model and Evaluate Alternatives to the 2-hour Response Standard (Formerly FY 2024 Q3 FY 2026 Q3 6 called: SAR Risk and Response Tool to Reexamine the 2-Hour Response Standard). Prototype Container Risk Assessment and Targeting Engine (Formerly called: Risk-based Container FY 2025 Q1 FY 2026 Q4 6 Demonstrate and Field Cybersecurity Solutions for OT on Coast Guard Cutters. Assess Effectiveness of Coast Guard Treatments of Psychological Health. Evaluate High TRL COTS and GOTS Technologies in the Operational Environment (Formerly called: RRT Prototype Afloat and Ashore Drug Detection Capabilities. FY 2025 Q1 FY 2027 Q4 3 Develop Proof of Concept for Using Directed Energy Technologies to Defeat Non-Compliant Vessels and FY 2025 Q1 FY 2028 Q1 5 Validate Coast Guard-wide Surface and Aviation Asset Allocation and Force Structure (Formerly called: FY 2024 Q3 FY 2028 Q1 5 Validate Capabilities for Next Generation Command Center Development (Formerly called: Computer FY 2024 Q3 FY 2028 Q4 4 Assess Fire Protection and Safety Measures for Lithium Batteries in the Maritime Environment (Formerly FY 2026 Q1 FY 2029 Q3 6 called: Enhance Understanding of Fire Protection and Safety Measures for Alternative Energy in the Research and Development Operational Performance Improvements and Modeling Prototype and Evaluate Technologies to Improve Resilient Underway Communications for Coast Guard Validate Use of Sensor Performance Models to Improve SAR Planning. Test and Field Afloat and Ashore Drug Detection Capabilities. Prototype Directed Energy Technologies to Defeat Non-Compliant Vessels and UxS. Evaluate High TRL COTS and GOTS Technologies in the Operational Environment (Formerly called: RRT FY 2025 Q3 FY 2027 Q1 7 Conduct Advanced Modeling of Coast Guard-wide Surface and Aviation Force Structure (Formerly called: FY 2025 Q1 FY 2027 Q4 6 Validate Capabilities for Next Generation Command Center Development (Formerly called: Computer FY 2027 Q1 FY 2027 Q4 7 Prototype Fire Protection and Safety Measures for Lithium Batteries in the Maritime Environment (Formerly FY 2025 Q1 FY 2028 Q1 6 called: Enhance Understanding of Fire Protection and Safety Measures for Alternative Energy in the Prototype and Evaluate Technologies to Improve Resilient Underway Communications for Coast Guard FY 2024 Q3 FY 2028 Q4 6 Prototype Use of Sensor Performance Models to Improve SAR Planning. FY 2026 Q1 FY 2029 Q3 6


**Where it sits:** Civilian / Non-Defense › Homeland Security › United States Coast Guard › Research and Development › Research and Development


*HitchAI is an independent intelligence service, not affiliated with the U.S. government. Civilian line dollars are parsed from agency Congressional Justifications and are approximate.*