Know how your humanoid is really doing

    Once the robot is on the line, Khenda watches it work and compares every cycle to the human baseline, so you see exactly which step is slow, which step failed, and where to improve.

    The loop

    How it works

    1

    Watch every cycle

    Khenda observes the deployed humanoid the same way it observes a human operator: from standard video on the line.

    2

    Compare to the human baseline

    Each robot cycle is matched step by step against the human reference we already extracted from your operator footage.

    3

    Catch slow and failed steps

    We score every step for success and timing, and flag where the robot is slow or failing before it turns into downtime.

    4

    Feed it back into training

    Deviations and edge cases captured on the floor become new training data, so the robot improves with every shift.

    What you get

    Real-time monitoring against a human reference
    Step-level success and failure detection
    Cycle-time and slowdown tracking per step
    Automatic success criteria for reinforcement learning
    Edge cases captured for continuous retraining
    Works from standard video, no extra sensors

    Put a humanoid under the microscope

    Tell us about your deployment and we'll show you how Khenda evaluates robot performance step by step against the human baseline.

    Talk to Us