“Data that is really easy to use should come from real scenarios, and it must be able to effectively support robot training.” Recently, at the 9th China Robotics Summit, Cai Zhenhui, founder and CEO of Huarui Zhipu, made a statement reflecting the industry's concern for high-quality data. Since this year, the market's expectations for physical and intelligent implementation have further heated up. The importance of high-quality data is highlighted when robots go from performance to faster entry into real work scenarios such as sorting, assembly, and handling. A number of industry insiders told the Shanghai Securities News reporter that the scarcity of data in the smart industry is reflected in two aspects: on the one hand, there is little stock data that can be used by the industry, so many companies are speeding up their efforts to obtain millions of hours of data; on the other hand, the industry is still exploring what kind of data is “good data.”

“Data that is really easy to use should come from real scenarios, and it must be able to effectively support robot training.” Recently, at the 9th China Robotics Summit, Cai Zhenhui, founder and CEO of Huarui Zhipu, made a statement reflecting the industry's concern for high-quality data. Since this year, the market's expectations for physical and intelligent implementation have further heated up. The importance of high-quality data is highlighted when robots go from performance to faster entry into real work scenarios such as sorting, assembly, and handling. A number of industry insiders told the Shanghai Securities News reporter that the scarcity of data in the smart industry is reflected in two aspects: on the one hand, there is little stock data that can be used by the industry, so many companies are speeding up their efforts to obtain millions of hours of data; on the other hand, the industry is still exploring what kind of data is “good data.”