DOE Selected Four National Lab Robotics Projects

The $30 million initiative will build reusable automation infrastructure for the scientific research community.

Updated on Oct. 12, 2026 in Robotics

DOE Selected Four National Lab Robotics Projects

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Should federal research funding prioritize projects designed for long-term reusability across the scientific community?

The U.S. Department of Energy has selected four National Laboratory-led projects to advance robotics and automation through its Advanced Scientific Computing Research program. The projects aim to create open-source software and benchmark tasks for scientific use, backed by a total of $30 million in proposed funding.

Why it matters

By creating reusable software and digital-twin environments, these projects aim to standardize automation capabilities across scientific research fields. This initiative shifts the trajectory toward shared infrastructure, potentially lowering the barrier for labs to implement AI-driven robotics.

The program has committed $2 million in Fiscal Year 2026 out of a $30 million total award pool to support the development of reusable robot skills, interfaces, and datasets. Success depends on the integration of these tools into existing scientific workflows versus currently siloed lab processes.

The players

Argonne National Laboratory

A multidisciplinary research center focused on large-scale science and engineering, leading the MAESTRO project.

Brookhaven National Laboratory

A research facility known for particle physics and materials science, leading the DART project.

Oak Ridge National Laboratory

A science and technology laboratory specializing in high-performance computing, leading the TRACE project.

SLAC National Accelerator Laboratory

A laboratory operated by Stanford University for the Department of Energy, leading the SPIRE project.

The details

These projects—MAESTRO, DART, TRACE, and SPIRE—focus on developing open software architectures and learning-enabled autonomy. Digital-twin environments—virtual replicas of physical systems used for simulation and testing—will serve as a primary mechanism to validate robot behaviors. By building these reusable interfaces, the labs aim to allow researchers to deploy autonomous systems without re-engineering software for each experiment.

Timeline

  1. October 9, 2026: Department of Energy announced the four selected projects.

  2. Fiscal Year 2026: Allocation of $2 million in initial project funding.

The Tech Race

This initiative represents a strategic move by the Advanced Scientific Computing Research program to unify robotic development across the national laboratory system. It competes against localized, non-reusable automation efforts by providing a centralized repository of open software and benchmarks.

For the broader scientific research community, this development promises future access to open-source software and standardized benchmarks that may reduce the time required to automate laboratory tasks. Availability remains subject to the progress of the four selected laboratory teams.

The takeaway

The DOE is prioritizing the creation of modular, reusable automation software to accelerate scientific discovery across its national labs. Watch the solicitation identifier LAB 26-3601 for further updates on technical milestones and the public release of benchmark datasets.

What happens next

Funding for these projects beyond Fiscal Year 2026 remains contingent upon future congressional appropriations and the successful conclusion of award negotiations with the Department of Energy.

Further reading

Explore the Robotics archive for more on the integration of autonomous systems into national research infrastructure.

More information

View full details on these selections through the Office of Science funding page.

Live Poll

Should federal research funding prioritize projects designed for long-term reusability across the scientific community?