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Engineering
Bio-Inspired Robots
Integrated high-precision motion capture, algorithm validation, and performance evaluation for bionic robots.
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Business pain points
  • Micro-displacement of joints and complex mechanical trajectories are difficult to measure accurately.
  • Robot testing is often limited to indoor or simplified environments.
  • Algorithm development lacks reliable multidimensional motion data.
  • Generic skeleton models often fail to accurately match different robot structures.
  • Our advantages
  • Sub-millimeter measurement provides reliable motion ground truth.
  • Supports testing in complex indoor, outdoor, water-surface, and underwater environments.
  • Synchronizes multimodal data such as motion, joint angles, force, and torque.
  • Custom skeletons enable precise mapping between motion data and robot models.
  • Introduction
    CHINGMU provides a high-precision motion capture solution for bionic robot development, enabling real-time tracking, algorithm validation, and quantitative performance evaluation.
    The system supports quadruped, wheeled, underwater, and other robot platforms, helping researchers analyze motion characteristics, optimize control algorithms, and validate performance in complex test scenarios.
  • Data acquisition

  • Document Center
  • Product components

  • Flagship Camera: K Series
    High-end optical mocap cameras built for demanding precision tracking.
  • Other Camera: MC Series
    Flexible optical mocap cameras for large-space, high-precision tracking across diverse production setups.
  • Software: CMTracker provides
    Real-time spatial tracking, visualization, and data output for UAVs, vehicles, rigid bodies, and engineering experiments.
  • Advantages of the plan

    Sub-Millimeter MeasurementProvides sub-millimeter positioning accuracy to capture subtle joint movement, complex mechanical trajectories, and robot motion details. It delivers reliable ground truth for algorithm validation and performance optimization.
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    Complex Environment AdaptabilitySupports testing across indoor, outdoor, water-surface, and underwater environments, providing stable motion data for evaluating robot performance in real-world conditions.
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    Multimodal Data SynchronizationSynchronizes 3D motion, joint angles, force, torque, and other sensor data to build complete kinematic models and support research from single-joint control to whole-body coordination.
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    Custom Skeleton MappingCustom skeletons break the limits of generic templates by adapting bone numbers, joint positions, and connection structures to each robot model, enabling precise mapping between motion capture data and robot kinematics.
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    CHINGMU Dynamic Real-time delivery


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