Solutions / Robotics
Data for robots that touch the world.
Demonstrations, multi-view capture and annotation for manipulation, navigation and humanoids, recorded so a policy can actually learn from it.
Use cases
Where robot data decides the outcome.
- 01
Manipulation and bin picking
Grasp attempts across object sets, with failures kept and labeled instead of discarded.
- 02
Mobile and legged navigation
Traversal across surfaces, obstacles and lighting, with state and odometry aligned to perception.
- 03
Humanoids and whole-body control
Teleoperated and motion-captured demonstrations across tasks and operators.
- 04
Warehouse, factory and field autonomy
Long-horizon tasks in the environments where the robot will work.
Anatomy of an episode
Every stream, aligned on one clock.
A demonstration is more than video. It is observations, actions, language and an outcome, tied together.
What we agree on up front
The decisions that make demonstrations usable.
- Action spaceJoint, end-effector or delta commands matched to your policy.
- Control rate and latencyOperator input to robot motion is measured and logged.
- Operator protocolConsistent instructions, with variation recorded rather than hidden.
- Initial conditionsObject placement and scene setup vary on purpose.
- Failure policyFailed episodes are labeled and kept.
- Outcome definitionSuccess is defined before recording, not after.