Performance evaluation_Embodied AI-SHANGHAI CHINGMU VISION TECHNOLOGY CO., LTD

Business pain points

Insufficient capture accuracy for subtle motion errors

High latency hinders real-time control and debugging

Unsynchronized multi-source data reduces analysis efficiency

Manual reporting: time-consuming and lacks standardization

Closed systems difficult to integrate into existing workflows

Our advantages

Sub-millimeter precision for detailed motion capture

Millisecond-level latency for real-time feedback

Multimodal sync ensures spatio-temporal data unity

Customizable metrics with one-click professional reports

Open architecture seamlessly integrates with mainstream platforms

Introduction

As humanoid robots, bio-inspired systems, and exoskeletons advance, objective motion performance quantification has become essential for control optimization and embodied AI research.

CHINGMU's high-precision optical motion capture delivers precision eva1uation for robotic motion performance. By spatially tracking key structures and capturing real-time 6DoF pose data, we enable quantitative analysis of motion accuracy, trajectory deviation, and pose stability—from complex single-robot tasks to multi-agent collaboration.

Applications: Embodied AI Training, Research & Development, Pre-delivery motion testing, batch consistency verification

Data acquisition

SYSTEM COMPONENTS

Flagship Camera: K Series

K Series delivers industry-leading performance for the most demanding motion capture applications.

Reference Camera:R Series

High-performance RGB reference camera for synchronized video, timecode alignment, and motion data validation.

Other Camera: MC Series

Flexible optical mocap cameras for large-space, high-precision tracking across diverse production setups.

Software

CMAvatar enables real-time 6DoF tracking, motion visualization, data synchronization, and quantitative analysis for robot training and eva1uation.

Detailed Advantages

High-Precision PositioningProvides sub-millimeter spatial positioning accuracy to track the 3D position and orientation of robot joints and end-effectors, supporting gait analysis, trajectory validation, and complex motion eva1uation.

Consult >

Low-Latency FeedbackMillisecond-level processing and transmission enable real-time motion feedback and online debugging. The system supports time-critical eva1uation for dexterous hand control, teleoperation, and multi-robot collaboration.

Consult >

Quantifiable Motion Performance MetricsAutomatically analyzes key metrics such as motion accuracy, positional repeatability, trajectory deviation, pose stability, operational consistency, and multi-robot collaboration error, with customizable thresholds for different R&D stages.

Consult >

Multimodal Data SynchronizationSynchronizes 6DoF pose data with human motion, video, tactile, object, and environmental data, creating high-quality reusable datasets for AI training, validation, and cross-platform migration.

Consult >

One-Click evaluation ReportsUsers can define eva1uation metrics and pass/fail thresholds based on test objectives. The system automatically generates standardized reports for research labs, teaching demonstrations, and enterprise R&D verification.

Consult >

Multi-Target Tracking & Scene RobustnessSupports parallel tracking of multiple robots and complex action testing, from single-robot fine-motion analysis to multi-robot collaborative control, ensuring stable and reliable data across varied environments.

Consult >

Open Architecture & Seamless IntegrationIntegrates with ROS/ROS2, MATLAB/Simulink, Python, and common simulation tools, supporting AI training and validation workflows from desktop dexterous tasks to large-scale robot test fields.

Consult >

Related Cases

CHINGMU Dynamic Real-time delivery

Qingtong Vision × Xiying Group: A New Chapter in Digitalization of Film and Television / Company Updates

In the field of film art, when the movements of characters are smooth and fluid, the expressions of digital characters are vivid and expressive, and the virtual shooting seamlessly integrates with the real scenes, the success of such works is inseparable from the strong support of motion capture technology.

2025-10-06

Qing Tong Vision × UITM: Overseas Empowerment of Sports Science / Company Updates

Under the global trend of upgrading global sports research towards more refined and quantitative analysis, universities and research institutions around the world are accelerating their exploration of the integration path between technology and academic research.

2025-10-06

A virtual reference trajectory scheme for tracking control of wheeled mobile robots with slip disturbances / Engineering

2026-05-19

IROS 2025 Zhejiang University: Research on Dextrous Manipulation of Dual Robots / Industry News

The dexterous operation of dual robots, due to its high degree of freedom coordination, multimodal perception fusion, and complex skill combination, has become an important research direction in the field of robotics.

2025-10-06

IROS 2025：Blue Eye Motion Capture Black Technology / Company Updates

As the annual event IROS 2025 of the robotics circle approaches, as the "prominent representative" of motion capture technology in the industry, CHINGMU Qing Tong Vision has already prepared a "full-strength surprise": multiple hardcore workshops, in-depth visits to industrial parks,

2025-10-06

Obtain exclusive case studies and industry solutions

Get the complete case in one click. Our experts will precisely match the most suitable motion capture solution for your industry, helping you reduce costs and increase efficiency.

Soochow University | High-Precision Motion Capture for Robotic Performance Benchmarking

CHINGMU High-Precision Motion Capture Empowers AgiBot for Advanced Motion Optimization

CHINGMU Motion Capture Enables Full-Scale Humanoid Robot Performance eva1uation and Training Data Acquisition

Obtain exclusive case studies and industry solutions

Name*

Tel*

Email*

Enterprise / Institution*

Country*

Address*

Application fields*

Please leave a message.*