Intelligence built
from real work.
Explore task-specific human demonstration data for embodied learning, with explicit limits on what video and IMU can tell you.
Task segmentation, tool-state recognition, multimodal representation learning and workflow understanding. Human demonstrations can inform research; they do not automatically provide robot actions or establish cross-embodiment transfer.
Share target tasks, modalities, environment variation, annotation needs and evaluation criteria. Agree a bounded feasibility pilot before discussing scale.
Review authorized sample coverage, clock diagnostics, occlusion and annotation consistency. Define rejection criteria and a data acceptance process in advance.
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