Recovery belongs in the dataset.
Synchronised observations, state and actions turn sparse demonstrations into an inspectable VLA training programme.
Discuss a similar programmeSparse demonstrations across variable workspaces.
The hard problem
Sparse recovery coverage made easy demonstrations an incomplete training signal. Workspace variation and the transition from simulation to operation needed explicit evaluation.
Our advantage
We defined success and safety, captured expert demonstrations, synchronised video with state and action, labelled task phases, expanded simulation scenarios and evaluated behind interlocks. Recovery became a retained training segment.
Value delivered
The programme delivered a task ontology, synchronised trajectories, recovery examples, quality reports, simulation scenarios, policy evaluation and a scale-gate dossier.
Platform context.
Bring the next
requirement.