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.
Manufacturing Robotic Arm Components
CNC machining is a core technology in the robotic arm industry, used to produce high-precision structural components such as shoulder joints, elbow joints, wrist joints, gears, bearings, and housings. These parts require extremely tight tolerances to ensure stability and durability during operation. For example, CNC milling and lathes can process metals, plastics, and composite materials to manufacture complex joint structures, allowing robotic arms to maintain accuracy across multi-axis movements.
In practice, CNC machining is widely used in automotive and aerospace industries to produce articulated robots’ multiple joint mechanisms. These robotic arms emulate human arm movements and are used for precise tasks like welding and assembly. Industry reports indicate that CNC machining can achieve tight tolerances of ±0.0002 inches, significantly improving component quality and performance.
Integrating CNC Control Systems into Robotic Arms
CNC technology is not limited to manufacturing components; it also serves as the core control system of robotic arms. Through G-code programming, CNC enables precise multi-axis motion control, allowing robotic arms to perform highly repetitive and accurate tasks such as material handling or machine maintenance. CNC-controlled robotic arms can integrate with industrial robots to form hybrid systems, substantially enhancing production efficiency and automation levels.
For instance, Cartesian robots often use CNC control for X, Y, and Z axis movements for straightforward material handling. On large production lines, CNC-controlled robotic arms can operate continuously to process high-strength materials such as aluminum and steel. Additionally, collaborative robots (cobots) integrated with CNC can safely work alongside humans, making them ideal for small- to medium-sized factories.
In repair applications, robotic arms equipped with CNC can handle tasks like component replacement or deburring. For example, FANUC robotic arms integrated with CNC can accurately remove metal burrs, reducing human errors. In maintenance scenarios, robotic arms can operate in hazardous environments, such as handling high-temperature or sharp objects, lowering the risk of workplace accidents.
In service applications like latte art, CNC-controlled robotic arms can precisely pour milk and create intricate designs. Examples include Artly’s AI-driven robotic arm, showcased at CES 2025, which can produce up to 120 cups of coffee with a 95% precision in latte art. Another example is Rozum’s robotic coffee arm, costing around USD 33,000, capable of continuous operation while delivering consistent latte art, making it ideal for coffee shop automation.
Conclusion
According to Q1 2024 data, traditional manufacturing productivity increased by only 0.2%, but the introduction of CNC-controlled robotic arms can boost efficiency by 20–30%. For example, in machine tending operations, robotic arms can handle 174 different parts, tripling production output. In terms of precision, CNC reduces human errors and achieves ±0.0002-inch tolerances, suitable for aerospace and medical industries.
Robotic arms also reduce workplace accidents by handling dangerous tasks, addressing labor shortages, especially in aging labor markets, according to Deloitte. However, automation may replace repetitive jobs, potentially affecting 20% of manufacturing positions by 2030, while simultaneously creating new roles in programming and maintenance. Despite employment challenges, the overall impact is positive, driving industry growth. With ongoing digital transformation, CNC robotic arms are expected to further expand applications, supporting the global manufacturing industry’s upgrade.