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RoboDecode
Evaluate|RoboEval
Quantify Every Motion, Validate Every Delivery
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RoboDecode
Evaluate|RoboEval

Powered by CHINGMU’s high-precision optical motion capture and multi-source data fusion, RoboEval quantitatively analyzes motion trajectories, pose stability, response speed, repeatability, and execution deviations — empowering robot manufacturers to establish a complete motion quality evaluation loop from R&D validation to mass production and delivery.


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Application

  • Dexterous Hand Precision Evaluation

    R&D and Algorithm Optimization

  • Humanoid Robot Motion Evaluation

  • Factory & Repair Inspection

    Version Regression Testing

  • Product advantages

    Full-Robot & Core Component EvaluationCovers the robot body, end effectors, dexterous fingertips, and critical components – enabling real‑time motion data capture and precision measurement.
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    Multi-Source Synchronized ComparisonSynchronized fusion of mocap, joint motor telemetry, simulation trajectories, and control commands for unified execution benchmarking.
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    Motion Consistency VerificationCompares position, posture, trajectory, acceleration, and other multi-dimensional metrics to quantify deviation and stability with precision.
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    Sim-to-Real Closed-Loop ValidationBenchmarks simulation against real-robot results, pinpoints Sim-to-Real gaps, and feeds back into optimization.
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    Dexterous Hand EvaluationDexterous hand evaluation – precisely verifies joint angles, fingertip trajectories, and grasp postures, with angular positioning accuracy better than 0.1°.
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    Fast Abnormal Frame LocalizationAutomatically identifies motion anomalies and precisely locates deviation, jitter, and instability issues – improving debugging efficiency.
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    Full-Cycle Data AccumulationSupports one‑click result saving, automated report output, and full‑cycle historical data management – enabling easy traceability and comparison.
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    The series come together, offering more choices

  • Project DecodeCapture
    Multimodal Data Acquisition System
  • MotionDecodeAcquisition
    Multimodal Training Dataset
  • RoboEvalEvaluate
    Robot Motion Evaluation Platform
  • CHINGMU Dynamic Real-time delivery


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