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This Sources Sought opportunity from Department Of Defense was posted on May 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Digital Twin Modeling & Software

Closed
N00173-26-RFI-DS02Federal

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The Naval Research Laboratory’s Laboratory for Autonomous Systems Research is seeking industry input through a sources-sought notice to develop a high-fidelity digital twin of its facilities, equipment, and robotic platforms in Washington, DC. This digital twin will serve as a simulation environment to advance research in robotic and autonomous systems, communication and navigation, human-robot interaction, and machine learning by enabling realistic, cost-effective, and repeatable testing under diverse conditions. The solution must be built using NVIDIA Omniverse tools and delivered in OpenUSD format, integrating detailed virtual models of four distinct high bay spaces and modular representations of RAS platforms complete with physical properties, sensors, actuators, and manipulators. The vendor will also deliver supporting software including model import and synthesis tools, automated test scripts, and a graphical user interface for configuring scenarios and parameters, along with comprehensive technical documentation covering system specifications, code annotations, test results, operation manuals, and maintenance guides. All deliverables must be uploaded and tested on a dedicated host computer at the LASR facility and fully integrated with Omniverse libraries and microservices for final acceptance. The project requires close collaboration with NRL personnel, with the vendor expected to participate in an initial kick-off meeting to establish a detailed timeline and schedule, followed by monthly progress reviews throughout the development lifecycle. Validation of the digital twin’s accuracy is critical and must be based on empirical data collected from real-world platform-environment interactions provided by NRL, with any discrepancies between physical and virtual systems requiring correction and subsequent demonstration of improved fidelity. Technical support must be provided from the point of contract award through final acceptance to assist users testing early versions of the system. Responses must be submitted by June 15, 2026, to Daniel St. Denis, and must exclude any classified information. This is a market research effort under FAR Subpart 10.001, with no formal contract award anticipated from this activity, and participation is voluntary and will not affect eligibility for future procurements. The solicitation number is N00173-26-RFI-DS02, and the applicable NAICS code is 541715.

General Info

Naval Research Lab seeks digital twin for robotics research; solicitation deadline June 15, 2026.

NAICS

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

Place of Performance

Washington, DC, 20375, USA

Set-Aside

NONE

Documents

1

SOW - Digital Twin Modeling and Software for LASR Facility

PDF, High priority: read this firstsow
High

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Timeline

PhaseClosed
Posted

Sources Sought

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → Naval Research Laboratory
Contacts1 person available
OfficeWASHINGTON, DC, 20375-5328, USA
Office AddressWASHINGTON, DC, 20375-5328, USA
Contacts
Daniel St. Denis

Full Description

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The Laboratory for Autonomous Systems Research (LASR), Code 1700 of the Naval Research Laboratory (NRL) provides facilities, equipment and other resources that enable research in the fields of robotic and autonomous systems (RAS), communication and navigation, human robot interaction and machine learning. To better support this research, the LASR facility requires a high-fidelity digital twin of its facilities, equipment and platforms.


The Digital Twin will accurately model and simulate the physical environments and various assets within the LASR facility, providing NRL researchers with an easily accessible tool for simulating robotic and autonomous system (RAS) behaviors in realistic digital environments. The Digital Twin shall enable controlled exploration and extensive test and evaluation of RAS across a wide range of conditions in a cost-effective manner not afforded by the physical environment.


NRL is seeking information from sources that may be capable of providing a solution that will achieve the requirements indentified in this notice and within the Statement of Work (SOW) attached. 

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