Da Ming has joined the aerospace supply chain by introducing 50 AI Cobots to help JPP-KY achieve production automation.
Today, Da Ming Robotics, a subsidiary of Quanta (2382-TW), announced its successful collaboration with the high-tech precision metal manufacturer Jing Bao Precision (JPP-KY, 5284-TW) in completing a large-scale automation transformation. Industry sources indicate that in response to the aerospace industry’s challenging production model characterized by “small quantities and diverse products,” Jing Bao Precision has effectively overcome process bottlenecks by implementing nearly 50 units of Da Ming’s TM AI Cobot, which features built-in AI vision. This achievement has led to the automation of ten complex applications, releasing over 80,000 hours of critical production time.
Jing Bao Precision specializes in providing “small-batch customization” services in sectors such as aerospace, communications, medical, and automation equipment. One of their major challenges has been the frequent changes in product lines for aerospace and server enclosures. Traditional automation equipment lacked flexibility, requiring significant time for recalibration with each line change, and heavily relying on manual visual inspections, which limited production efficiency and contributed to quality instability.
According to Da Ming, the unique technology of their robots, featuring exclusive built-in AI vision, has been a key factor in their success. Unlike other brands that require complex external camera integrations, the TM AI Cobot integrates visual recognition with robotic arm control, showcasing two core advantages: First, flexible line changes and plug-and-play capability. Through visual positioning, the robot can quickly adapt to workpieces of various sizes and shapes, significantly reducing setup time and perfectly aligning with customers’ production needs for “small quantities and diversity.” Second, the robots provide AOI-level process quality control. Data shows that customers widely utilize the robotic arms for quality inspection. With AI deep learning, the arms can accurately identify screw fastening, rivet punching, and tolerances for metal components, effectively eliminating the risk of oversight caused by human fatigue and ensuring zero-defect shipments for aerospace-grade products.
Furthermore, Da Ming stated that analysis of the collaboration’s implementation data reveals impressive scalability and return on investment for this automation project. The project encompasses approximately ten processes, including screw fastening, riveting, stamping, painting, and spot welding, utilizing models such as TM5S, TM12S, and the high-load TM25S. By delegating high-repetition and safety-risk tasks to robots, Jing Bao Precision estimates an annual release of about 80,000 hours of labor, allowing their workforce to focus on production line management and technical support.
Looking ahead, Da Ming emphasizes that their robots offer not just mechanical arms but a comprehensive AI solution that can “see” and think. Jing Bao Precision has initiated a new round of application development in 2026, including polishing and advanced testing machine applications, ensuring continuous high-efficiency production with 24/7 operations and rapid local technical responses. Da Ming Robotics will continue to assist global manufacturing clients in achieving a dual leap in capacity and quality amidst the wave of AI automation.
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