CNC technology is an automated system that precisely controls machinery through computer programs, widely applied across various manufacturing sectors. The robotic arm industry encompasses both industrial uses (such as assembly and welding) and service applications (such as latte art or maintenance). In Japan, for instance, people with disabilities can remotely operate robots from home for work. This industry is visibly experiencing rapid growth. According to 2025 market data, the global robotics market is expected to reach USD 50.8 billion, with service robots accounting for USD 40.58 billion, demonstrating strong growth potential. The application of CNC in the robotic arm industry extends beyond component manufacturing to control systems and versatile task execution.

The world has entered the era of Industry 4.0. robots assist human manufacturing, emphasizing the use of "human-machine collaboration" to move toward smart production. In recent years, the population aging problem faced by developed countries has caused the production costs of industry and manufacturing to increase year by year. Enterprises have deployed automation equipment to improve production efficiency. Various industries have also undergone tremendous changes in this intelligent wave.

Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?

In recent years, due to the high demand for customized orders and small and diverse production, the production line must frequently replace molds and adjust lines. Mold replacements often take 2 to 3 hours, and production line adjustments may even stop production for a few days, resulting in production delays and making production capacity impossible. How can we effectively replace molds, adjust production lines, reduce downtime, and quickly respond to customer needs?

With the advent of the AI era, the medical community has begun to use AI data analysis, develop surgical robots, and collaborate with doctors to create innovations in precision medicine.

Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?

The world has entered the era of Industry 4.0. robots assist human manufacturing, emphasizing the use of "human-machine collaboration" to move toward smart production. In recent years, the population aging problem faced by developed countries has caused the production costs of industry and manufacturing to increase year by year. Enterprises have deployed automation equipment to improve production efficiency. Various industries have also undergone tremendous changes in this intelligent wave.