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Digital Twin Modeling and Software Solution for LASR Facility

Overview


Posted: May 30th, 2026Deadline: June 15th, 2026

Fit Score


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SUMMARY


The NRL's LASR seeks a digital twin software solution to virtually model and simulate its facility and assets, supporting advanced RAS research and testing.

DESCRIPTION


The Laboratory for Autonomous Systems Research (LASR) at the Naval Research Laboratory (NRL) is seeking a high-fidelity digital twin solution to model and simulate its facilities, equipment, and various platforms. This digital twin will serve as an accessible tool for NRL researchers, enabling them to simulate robotic and autonomous system (RAS) behaviors within realistic digital representations of the physical environments.

The intent is to facilitate controlled exploration and extensive test and evaluation of RAS technologies in virtual environments, thereby reducing costs and risks associated with physical testing. The digital twin should faithfully replicate LASR’s physical assets and enable experiments across diverse environmental conditions. NRL invites information from qualified sources capable of delivering a solution that meets the requirements outlined in the attached Statement of Work.

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Frequently asked questions

When is the submission deadline?
Submissions are due June 15, 2026.
Who is a good fit for this opportunity?
  • Expertise in digital twin modeling and high-fidelity simulation software
  • Experience serving defense or government research facilities
  • Familiarity with robotic and autonomous systems (RAS) simulation
  • Capability to deliver scalable solutions for complex environments

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