Teleoperation_Robotics-SHANGHAI CHINGMU VISION TECHNOLOGY CO., LTD

Business pain points

Inaccurate motion mapping results in stiff or distorted robot movements

High system latency causes robot response to fall out of sync with operator commands

Complex environments can interfere with stable and accurate control

Precision tasks require end-effector accuracy beyond traditional control methods

Fragmented data, mapping, and control pipelines slow down algorithm validation

Our advantages

Real-time mapping of precise and complex human movements

Millisecond-level low-latency transmission enables responsive robot operation

Optical tracking is resistant to magnetic interference in complex environments

Full-chain spatial pose awareness supports fine manipulation and adaptive control

Integrated teleoperation workflow accelerates research and industrial iteration

Data acquisition

Product components

K Series

High-end optical mocap cameras built for demanding precision tracking.

R Series

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

MC Series

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

Pulse Series Optical-Inertial Fusion Glove

Captures precise multimodal finger motion data with sub-millimeter accuracy and robust tracking stability.

Software

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

Advantages of the plan

High-Precision Motion MappingCaptures full-body motion with sub-millimeter spatial precision and converts human movement into accurate robot control inputs. This enables more natural motion reproduction and lowers the learning curve for teleoperation.

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Millisecond ResponsivenessUltra-low latency keeps the operator and robot synchronized, improving task execution efficiency and success rates in complex scenarios such as emergency rescue, remote inspection, and precision operation.

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Spatial Pose AwarenessReal-time sensing of the operator’s 3D coordinates, posture, and motion trajectory enables humanoid robots to understand spatial intent and adapt manipulation strategies in dynamic environments.

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Robust Tracking StabilityMarker-based optical tracking and opto-inertial fusion help reduce the impact of magnetic interference and visual occlusion, ensuring continuous and stable motion data in complex experimental and industrial scenarios.

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Integrated Teleoperation HubA unified hub for data acquisition, processing, mapping, and control output provides intuitive feedback and accelerates algorithm validation, robot skill training, and industrial iteration.

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System Flexibility and ScalabilityThe system can transmit data via VRPN, TrackD, DTrack, and LiveStream, and provides a rich set of SDK plugins for data exchange with various platforms. It supports secondary development and runs on Windows, Mac, Linux, Android, Kylin, and other operating systems. It supports development platforms such as PX4, ROS/ROS2, and Raspberry Pi, and interfaces with C++, Python, MATLAB, Simulink, LabVIEW, and other programming languages.

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