Neuracore

The Neuracore Python SDK and CLI enable logging robot data, training policies in the cloud, and running inference locally or on a policy server.

Neuracore is developed by contributors from the open-source community, with core libraries under MIT license and open-source tools for teleoperation and benchmarks.

The page documents the process of developing robot skills, from initial teleoperation to deploying policies.

Analysts advise purchasing foundational capabilities in imitation and reinforcement learning to avoid delays in developing competitive products.

The page features discussions and panels on vision-language-action models, imitation and reinforcement learning, and future trends in learned robot manipulation.

The page offers resources for learning robot skill development, including articles, guides, demos, industry applications, and podcasts with the Neuracore team.

Where the open-source LeRobot library is the right choice, and where a managed platform like Neuracore is the better tool, for scale, algorithm performance, deployment, and the full data flywheel.

Watch Neuracore work end to end: collect teleoperation demonstrations, curate a dataset, train a policy, and deploy it to a real robot in one walkthrough.

The robot skill creation engine: collect demonstrations, curate datasets, train imitation and reinforcement learning policies, and deploy them on real robots, all on one platform.