SAM #N00173-26-RFI-DS02

Digital Twin Modeling and Software Solution for NRL LASR Facility

The Naval Research Laboratory (NRL) is seeking information from vendors capable of developing a high-fidelity digital twin modeling and software solution for its Laboratory for Autonomous Systems Research (LASR) facility in Washington, DC. - Government Buyer: - Naval Research Laboratory (NRL), Laboratory for Autonomous Systems Research (LASR) - Products and Services Requested: - High-fidelity digital twin of four LASR high bay environments (Desert, Littoral, Prototyping, Tropical) - Models must include physical properties, modular components, and be delivered in OpenUSD format - Integration with NVIDIA Omniverse tools is required - Digital models of robotic and autonomous system (RAS) platforms, including at least one ground vehicle and one underwater vehicle, with detailed physical and sensor properties - Utilities and helper modules (plug-ins, microservices, command line and graphical interfaces) for configuration, testing, and simulation parameter adjustments, compatible with Omniverse - Test and validation scripts to simulate test cases and validate/tune the digital twin models - Comprehensive technical and user documentation (system specs, code documentation, test results, operation and maintenance manuals) - Technical support and project management, including kick-off, monthly progress reviews, and ongoing support through final delivery - Unique or Notable Requirements: - All digital models and tools must be compatible with and integrated into NVIDIA Omniverse, using OpenUSD format - The digital twin must support simulation, testing, and validation of RAS behaviors in realistic digital environments - Vendor must provide ongoing technical support and participate in regular project meetings - No specific OEMs, vendors, or part numbers are mentioned, but NVIDIA Omniverse is a required platform.

Description

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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