In the commercialization process of AI robots, the balance between "performance improvement" and "cost control" has always been the core concern of manufacturers, and the technological evolution and application optimization of flexible circuit boards (FPCs) are becoming key variables to solve this problem.

From a cost perspective, the large-scale application of FPC is continuously reducing the hardware cost of AI robots. In the past, the wiring connection of robot moving parts relied on customized ribbon cables and multiple connectors, which not only had high procurement costs but also required additional labor hours for assembly; FPC can achieve "one-piece" wiring, directly matching the structural design of robots, reducing the use of connecting components by more than 50%, while simplifying the assembly process, reducing the hardware cost of a single robot by 15% -20%. In addition, with the maturity of FPC production technology, the yield rate during mass production has increased to over 98%, further diluting unit costs and providing support for the popularization of mid to low end AI robots.

From a performance perspective, the technological upgrade of FPC has not compromised due to cost control, but has continuously improved the core performance of AI robots through material innovation and design optimization. For example, FPC with ultra-thin substrate (thickness ≤ 0.05mm) can be embedded into micro actuators of robots to achieve "millimeter level" action accuracy and meet the operational requirements of precision assembly robots; The application of high elasticity FPC enables the robot joints to maintain their integrity even when subjected to external impacts, reducing the probability of failure caused by collisions and improving the service life of the equipment.

Currently, leading AI robot manufacturers have begun to engage in deep cooperation with FPC companies, jointly developing customized products through a "demand front" model. For example, in response to the high-speed movement requirements of logistics sorting robots, FPC companies have specifically optimized the line's tensile resistance performance; A low friction coefficient FPC surface coating has been developed to meet the low noise requirements of home service robots. This "collaborative innovation" model not only ensures the performance advantages of AI robots, but also controls costs through large-scale customization, promoting the industry to accelerate from "high-end niche" to "mass application".