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Zhejiang Chinese Medical University: In Vivo Kinematic Quantification of LPM Supports Individualized Tuina Treatment for Lumbar Disc Herniation / Industry News

2026-09-16

CHINGMU Joins OpenLET Community to Co‑Build an Open Ecosystem for Human Motion Data / Company Updates

On August 27, CHINGMU Shanghai Vision Technology Co., Ltd. officially joined the OpenLET community.

2026-09-08

How to Capture Hand-Object Interaction Data? The Application Value of High-Precision Hand Motion Capture / Knowledge sharing

For robots to operate flexibly in the real-world environment, the first step is not to build more sophisticated models, but to acquire sufficient high-quality real demonstration data. Traditional data-collection methods usually rely on laboratory-based setups, including fixed motion-capture systems, limited worktables and strictly-controlled lighting and spaces. While the captured data delivers high precision, it can hardly be transferred directly to real-world sites such as factories, supermarkets, warehouses and households. Worse still, hand-object interaction involves multi-modal information: hand pose, object pose, contact force and visual feedback. Missing data or time-sequence misalignment in any channel will render the collected demonstrations useless for model training.

2026-09-04

CHINGMU Co‑Releases the 2026 China Embodied AI Data Collection Industry Development Blue Paper / Company Updates

Recently, the 2026 China Embodied AI Data Collection Industry Development Blue Paper, jointly compiled by Zhixing Yuanjie, CHINGMU, and several other organizations, was officially released.

2026-09-08

CHINGMU:nternational Standard for Robot Performance – How Do You Accurately "Measure" It? / Company Updates

Recently, the international standard "Performance evaluation methods of robots for household and similar use" (IEC 62849), developed under China's leadership, was officially published.

2026-09-08

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