WRC 2026：具身数采凶猛，千军万马集体入场

TL;DR - WRC 2026 showed embodied-AI data collection becoming a strategic market, with sensor suppliers, model developers, data specialists, dexterous-hand makers, and major platforms all launching hardware or infrastructure. The shift reflects a growing industry bottleneck: obtaining affordable, high-quality real-world multimodal data for training robots.

• New systems combine egocentric video, depth, touch, motion, and electromyography, often using lightweight headsets, gloves, wristbands, or teleoperation platforms.
• Vendors are targeting reusable training data through standardized formats, cross-robot motion remapping, synchronized modalities, and reduced sensor noise.
• Data-focused players announced major scale initiatives, including a 100,000-hour open human-behavior dataset and JD’s goal of collecting over 10 million hours of real-world data within two years.
• Competition is expanding from robot hardware and models toward end-to-end capabilities spanning sensing, scenario operations, data processing, training, evaluation, and cloud services.