Data Collection Faces Scrutiny in Embodied AI Development
数采会成为具身智能的“ 牺牲品 ”吗?
Data collection, once a key enabler for embodied AI, now faces skepticism as inflated revenues and questionable practices emerge, with real-world data scarcity and market volatility challenging its viability.
Source: Chinese robotics — Robot learning research · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
Reported duration
≈500,000 hours
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
据贵州省大数据局今年7月披露,当前我国真实场景合规数据存量约50万小时,而商业化落地需要数千万小时,缺口超过99%。
Open source S21
老台称,去年每小时能卖200多元的数据,今年只能卖100多元。
Open source S23
Source:Chinese robotics — Robot learning research · robot.ofweek.com