Silicon Valley Robotics Center

Research teams can assemble world-class robot learning stacks, but integrating hardware, collecting high-quality demonstration data, running fleet teleoperation, and keeping robots operational is still the bottleneck that separates demos from deployments. SVRC exists to absorb that complexity.

We believe the next decade of robotics progress will be defined by three forces: abundant, diverse, real-world data; shared infrastructure that lowers the cost of experimentation; and operator-friendly systems that let domain experts teach robots without writing code.

We produce a written plan, pricing, and shipping schedule before work begins. Customers have direct Slack or email access to the engineers running their project, and every dataset, rental, or purchase is backed by a clear warranty and refund policy.

Customers with custom data engagements receive read-only dashboard access to their own operations so they can audit progress, quality metrics, and delivery timelines in real time.

A typical cell has multiple synchronized cameras, a teleoperation rig, force-torque sensing, and options for tactile gloves, motion capture, or gaze tracking. Every cell has an adjacent QA station where episodes are reviewed before delivery.

We think hard about dataset diversity. Two hundred episodes of the same operator, same task, same location are less valuable than two hundred with real variability in operator, scene, distractors, and camera angle. Our protocols encode that variability explicitly.

We publish a weekly research digest, maintain a glossary for newcomers, and open-source teleoperation tooling and collection protocols. Our state-of-robotics reports cover global trends and country-specific markets, free to anyone.

We benefit from open-source robotics software — ROS, LeRobot, MuJoCo, Isaac Sim, OpenCV, PyTorch — and give back with upstream bug fixes, feature requests, and public tooling. We do not release code for show; we release it because the field moves faster when tooling circulates.