Multimodal robot datasets

Multimodal datasets connect vision, action, proprioception, and touch so teams can reason about what information their policy will actually need.

Signals to compare
  • RGB and depthStill the baseline for perception-led manipulation tasks.
  • Force and tactileImportant for contact-rich transitions and grasp stability.
  • Language and metadataUseful for retrieval, evaluation slices, and instruction grounding.
Practical takeaway

This page helps teams decide whether they need more modalities, better timing alignment, or clearer metadata before retraining.

Need multimodal data collection?

We can scope sensors, synchronization, and delivery format for your training stack.