Edge computing is a distributed computing architecture that moves applications, data, and services from the central node of the network to the logical edge nodes of the network for processing. Edge computing decomposes large-scale services that were originally processed by the central node into smaller and more manageable parts, and is distributed to the edge nodes for processing.

5G is regarded as an important promoter of Industry 4.0. 5G's high network speed and low power consumption enable each sensor of the future unmanned factory to be connected to the cloud, further extracting data for analysis, and driving artificial intelligence.

Driven by the German government's national policy, Industry 4.0 has become the most high-profile manufacturing issue in the world. Therefore, countries have successively launched corresponding smart manufacturing policies. With the help of 5G, the world is facing an uncompleted and perfect 5G environment to respond to smart manufacturing Yes, and Taiwan still has many opportunities and challenges in 5G smart manufacturing. Taiwan ’s 5G commercialization is imminent, and it is still expected that the government, telecommunications operators, and automation industry will work together to accelerate the full implementation of 5G.

Industrial robots can more quickly and handle large-scale mass production work. So far, nearly half of the industrial robots in the world are used by automobile factories. Let's understand the advantages and disadvantages and applications of industrial robots.

Industrial robots use a large number of sensors to achieve good operation and control in industrial automation production processes. For example, collaborative robots integrate torque sensors and cameras to ensure the best perspective and safety. What sensors are integrated with industrial robots?