Data
Data for Robot Learning
Collect high-fidelity interaction data for dexterous manipulation and skill transfer.
What we capture
We capture rich signals from real interactions to train robust robot skills.
Data can include video and interaction dynamics needed for reliable manipulation.
From early feasibility to full deployment, we can align data collection with metrics that matter: success rate, cycle time, and robustness.
Signals
- Video + context
- Interaction dynamics
- Force/torque signals
- Repeatable protocols