Fiund / Solutions

Solutions, defined by the task.

Explore project specifications for robotic datasets. Each sourcing option starts with the task, required signals, and a reviewable definition of success.

Jaeden Schafer speaking during a real podcast recording — Frame from Jaeden’s Riverside recording archiveSource & media notes ↗

The living-room recording set with brown couches, a round table, and microphones.

Sourcing option

Robot manipulation datasets

Specify tasks, end effectors, actions, and observable outcomes for manipulation learning.

A studio microphone, keyboard, mouse, and audio interface on the recording desk.

Sourcing option

Visuomotor learning datasets

Align camera observations with interpretable robot actions and state.

Sourcing option

Language-conditioned robot task data

Ground instructions in the actual episode, objects, and completion conditions.

A real podcast guest speaking into a studio microphone

Sourcing option

Cross-embodiment robotics data

Compare robot sources through explicit mappings, retained differences, and testable assumptions.

Sourcing option

Robot task evaluation datasets

Design episodes and labels that support interpretable task-level evaluation.

Solutions, defined by the task.

Robot manipulation datasets

Visuomotor learning datasets

Language-conditioned robot task data

Cross-embodiment robotics data

Robot task evaluation datasets

Send the task, embodiment, and signals your project requires.