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Visuomotor learning datasets

Align camera observations with interpretable robot actions and state.

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For a model learning from visual observations and actions, camera fit and control semantics need to be assessed together. Describe the views available at deployment and the action interface the model will drive. A visually rich collection may still be unsuitable if its action representation or timing cannot be interpreted for your project.

Match the available visual inputs

Specify fixed cameras, wrist views, depth, or other streams only where needed. Record camera placement, image transformations, and any calibration information required by the model. A dataset containing an overhead view does not establish that a wrist-camera policy will receive the same task evidence or object visibility.

Explain the action target

State whether the learner predicts joint targets, end-effector motion, gripper commands, or another representation. Document absolute versus relative values, units, reference frames, and how commands are applied. Include the controller configuration relevant to interpretation rather than treating every same-length action vector as interchangeable.

Review temporal association

Define how observations are paired with issued actions and measured feedback. Sensors and controllers may run at different rates, so ask what resampling or selection produced the delivered steps. Inspect brief movements and contact transitions, and retain raw timing references where available so the pairing can be audited.

Keep transformations reproducible

Image resizing, state normalization, action conversion, and clipping can change what a model learns. Record those operations and identify original versus derived fields. Review a representative episode through the proposed loading process before expanding an inquiry. Availability, technical fit, and the proposed use scope remain separate questions for the actual source. Include explicit handling for unavailable views or state fields in the proposed input specification.

Include in your inquiry

  • Deployment camera inputs
  • Action semantics and controller context
  • Timestamp pairing and sampling policy
  • Transformation and loading requirements

Your project, in focus

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

Speak directly with Jaeden Schafer at Fiund about the source material, specifications, and review your project needs.

Source fit, permissions, samples, pricing, and delivery are reviewed for the individual project.

Start with these details

  1. Task and target embodiment
  2. Required observation and action signals
  3. Episode counts and success criteria
  4. Sensor timing and annotation requirements
  5. Source permissions and intended use
Build your project brief ↗

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