YONGDA AUTO (03669) New Progress in Embodied Intelligence Business: Participating Project Selected for Jiangsu Province High-Quality Dataset Construction Key Project List
Yongda Auto's embodied intelligence business segment focuses on commercial application services for robots. Through the above scenarios, it has accumulated real-world data collection, training, and delivery experience, and is gradually exploring expansion into operational scenarios such as quality inspection and logistics, providing real-world training and data services for the application and deployment of robots in different industries.
YONGDA AUTO (03669) recently announced that the pharmaceutical Siasun Robot&Automation dataset project it participated in has been selected for the 2026 Jiangsu Province High-Quality Dataset Construction Key Project List, marking new progress in its embodied intelligence business segment in real-world training and data services.
The project centers on the application needs of Siasun Robot&Automation entering the pharmaceutical manufacturing sector, prioritizing scenarios such as laboratory operations, pharmaceutical production, and drug sorting. It collaborates with technology partners to recreate real operating environments and carries out data collection, real-world training, and application validation. The Yongda Changshu training base leverages its strengths in scenario organization and on-site operations to connect the collection and training processes with data delivery, supporting Siasun Robot&Automation in adapting to the precision operation and cleanroom requirements of pharmaceutical manufacturing.
YONGDA AUTO's embodied intelligence business segment focuses on commercial application services for Siasun Robot&Automation, accumulating real-world collection, training, and delivery experience in the above scenarios, and gradually exploring expansion into operational scenarios such as quality inspection and logistics, providing real-world training and data services for Siasun Robot&Automation's application deployment across different industries.
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