MODE: SAFETY-CRITICAL
NeuronNEURON
04 / Evaluation

How a grade is made.

CRITERIA / SPEC
  • safety calls

    did the robot stop, slow, or hand off when it should have

  • tool handling

    grip, torque, orientation, release, return

  • navigation

    path, clearance, awareness of human and material

  • human handoffs

    approach, signal, transfer, disengage

Evaluators grade whether the robot made the right decision, not just whether the data was captured correctly.

SAMPLE EVALUATION CARD
Sample evaluation card with criteria called out
PIPELINE

Structured human feedback feeds RLHF datasets, training pipelines, and construction-robotics simulations.

RLHF was the unlock for language models. Robotics has no equivalent human-feedback layer. Neuron is building it.

EVAL→RLHF DATASET→TRAINING→DEPLOY→RE-EVAL
SURFACE

Built for the unstructured job-site: scaffolding, power tools, human handoffs, autonomous task execution.

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