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The Relationship Between Smart Manufacturing and Robotic Arms

FAQ | The Relationship Between Smart Manufacturing and Robotic Arms

Smart manufacturing and robotic arms are closely related, as robotic arms are one of the key tools for achieving smart manufacturing. They enhance production line efficiency and product quality, reduce labor intensity and workplace accidents, and enable human-machine collaboration.

The Relationship Between Smart Manufacturing and Robotic Arms

Reasons for Implementation
Robotic Arms as a Key Tool in Smart Manufacturing

Core Needs of Smart Manufacturing
Smart manufacturing aims to address major challenges in traditional manufacturing, such as reducing reliance on human labor and improving production efficiency. It allows flexible adjustments to production lines to meet diverse market demands and customization needs.

Tasks are executed based on data to ensure product consistency, maintain stable quality, and reduce defect rates. Optimized resource utilization enables data-driven decision-making, reducing material waste and energy consumption.


The Relationship Between Smart Manufacturing and Robotic Arms
Smart manufacturing integrates advanced technologies such as IoT, AI, and big data analytics to enable highly automated, flexible, and intelligent production processes. Robotic arms play a crucial role in this transformation.

They can execute precise operations and control objects based on pre-programmed instructions or real-time environmental data.

Robotic arms perform tasks such as assembly, disassembly, packaging, sorting, and material handling on production lines. They improve efficiency, enhance product quality, reduce labor intensity, and minimize workplace accidents, facilitating seamless human-machine collaboration.


Successful Applications of Robotic Arms
Automobile Manufacturing: Robotic arms are widely used in welding, painting, and assembly lines in car manufacturing plants, ensuring high efficiency and consistency. For example, Tesla's factories extensively use collaborative robotic arms for vehicle assembly.

Electronics Manufacturing: The precise assembly processes in smartphone manufacturing (such as component insertion and soldering) heavily rely on robotic arms for stability and accuracy. Foxconn’s automated production lines include a significant number of robotic arms.

Food Processing Industry: Robotic arms are used for packaging, sorting, and inspection processes, effectively improving efficiency while meeting food safety standards.

Classification of Robotic Arms
Reducing Dependence on Human Labor and Improving Production Efficiency

Classified by Actuation Method:
Track-based: Moves along a fixed track, commonly used in semiconductor, glass, and ceramics industries.
Valve-controlled: Uses a valve-driven system for movement, widely applied in pharmaceutical, food, and petrochemical industries.
Electric-driven: Powered by electricity, frequently seen in automated production lines and logistics systems.
Hydraulic-driven: Operates based on hydraulic principles, mainly used in heavy industries such as steel and machinery manufacturing.

Classified by Application:
Manufacturing & Processing Arms: Used for cutting, drilling, milling, machining, welding, spraying, etc.
Assembly Arms: Applied in automotive and manufacturing production lines for automated assembly and component handling.
Material Handling Arms: Used in panel manufacturing, food production, automated packaging, warehousing, and logistics.
Semiconductor Wafer Handling Arms: Compact robotic arms designed for cleanrooms, such as wafer transfer and processing.
Precision Laboratory Arms: Used in pharmaceutical research, laboratories, and precision chemical dispensing automation.
Medical Surgical Arms: Designed for delicate surgical procedures, often integrated with micro-imaging systems.
Service & Assistance Arms: Used in rehabilitation, home security, entertainment, restaurant service, firefighting, and sports training.

Serial SCARA

Serial SCARA

Serial Wafer Arm

Serial Wafer Arm

Serial Articulated Arm

Serial Articulated Arm

Parallel Delta

Parallel Delta

What is the Current State of the Robotics Industry?
The global robotic arm market is expanding rapidly, driven by the rise of industrial automation, smart manufacturing, increasing technological demands, cost reduction efforts, and growing demand across various industries. The automotive industry has long been the largest user of industrial robotic arms, utilizing them for welding, painting, assembly, and material handling. The second-largest sector is electronics, where robotic arms are used for assembly, inspection, and testing. Additionally, emerging industries such as logistics, healthcare, and food production are also increasing their demand for robotic arms.

The global industrial robotic arm market is expected to surpass $13 billion by 2025. Asia is a key production hub, particularly China and Taiwan, which possess advanced manufacturing technologies, high-quality products, and extensive production facilities with skilled labor. The Asian market is also attracting substantial foreign investment, further accelerating its growth.
The robotics industry plays a crucial role in Taiwan’s economy, covering the entire value chain, including design, research and development, manufacturing, sales, and services. It is closely linked to multiple industries, such as automotive and semiconductors. The growth of these industries not only enhances Taiwan's export competitiveness but also generates substantial employment opportunities.

Solution
How to Monitor the Status of Robotic Arms?

Quickly Establish Learning Standards, Detect Anomalies Instantly

For dynamic monitoring of robotic arms, users can easily establish health standards using the VMS-ML Machine Learning Intelligent Monitoring System. By analyzing accumulated data statistics, the system makes intelligent decisions through machine learning. With high-performance measurement and learning capabilities, it features high-speed signal sampling, analyzing dynamic signals in under 0.2 seconds per instance, ensuring even the smallest anomalies are detected.

VMS-ML Machine Learning Monitoring System
VMS-ML Machine Learning Intelligent Monitoring System
VMS-ML

Monitor equipment status and detect anomalies early.