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Automated Heavy Machinery R&D

Active

Federal

Response Deadline01/02/2028, 09:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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This subcontract for the Department of Defense involves the research and development of autonomous and semi-autonomous control systems and hardware for heavy construction and maintenance machinery. Supporting AFCEC Readiness Directorate projects, the work focuses on integrating robotics, sensor fusion, and AI-driven control software utilizing LiDAR and Radar sensors. The primary deliverables include autonomous control software, modified machinery prototypes, and comprehensive performance validation data. The project is categorized under NAICS code 541715 and will be performed at Tyndall AFB. The solicitation was posted on March 30, 2026, with a response deadline of January 2, 2028.

General Info

DoD subcontract for autonomous control systems and hardware for heavy machinery at Tyndall AFB.

Agency

Department Of Defense → FA8051 772 Ess Pkd

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Tyndall AFB, FL, 32403, USA

Set-Aside

NONE

Documents

This scope was carved out of FA8051-24-S-0001.

The full solicitation package (6 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

BROAD AGENCY ANNOUNCEMENT (BAA)- Research and Development (R&D) for Air Force Airbase Systems

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Timeline

PostedMar 30

subcontract

Response DeadlineJan 2

Submission deadline

Response Deadline

01/02/2028, 09:00:00 PM UTCin about 1 year

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8051 772 Ess Pkd

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Defense → FA8051 772 Ess Pkd

Office AddressN/A

ContactsNo contact information available

Full Description

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Develops autonomous or semi-autonomous control systems and hardware for heavy construction and maintenance machinery for prime contractors on AFCEC Readiness Directorate projects. Integrates robotics, sensor fusion, and AI-driven control software using LiDAR/Radar sensors and autonomous software stacks. Delivers autonomous control software, modified machinery prototypes, and performance validation data.

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