At present, there are two main obstacles to the robot industry in China: artificial intelligence-related technologies are not mature enough, and the integration with manufacturing industries is slow; the intelligentization of the robot industry lacks the designation of transmission standards.
Domestic robotics companies are developing towards system integrators, facing end-users, can be closer to actual needs, and thus improve their own technologies, and also make industrial robots more in line with actual production requirements, which in turn drives the popularization of industrial robots and automation equipment. Indirect pacification obstacles for the integration of artificial intelligence and robots.
At present, there are two main obstacles to the robot industry in China: artificial intelligence-related technologies are not mature enough, and the integration with manufacturing industries is slow; the intelligentization of the robot industry lacks the designation of transmission standards.
In China, robots are hailed as “the crown jewel of the manufacturing industryâ€, which is not only a key support for the development of advanced manufacturing industries, but also an important entry point for improving people’s lifestyle. As one of the ten key technologies for digital transformation, robotics will add new momentum to China's economic transformation and upgrading under the new normal.
With the arrival of the artificial intelligence era, robotics will be further integrated with artificial intelligence, information technology, communication technology, and manipulation technology. Correspondingly, the robot industry will also evolve from the electric age and the digital era to the intelligent era. Robotics will evolve from traditional industrial technologies such as controllers, servo motors, and speed reducers to artificial intelligence technologies such as machine vision, voice processing, and cognitive learning.
The weak foundation is fusion
In the field of industrial manufacturing, artificial intelligence technology is indispensable. Qian Hui, general manager of Shanghai Fanuc Robot Co., Ltd., said that the integration of artificial intelligence and industrial machine manufacturing is mainly in the field of image recognition and sound recognition, and image recognition is the more common application method in industrial machine manufacturing. Therefore, from the perspective of the domestic artificial intelligence field, with the promotion of relevant policies, the future will be second only to the development of the Internet industry, becoming a very large industrial form in the future.
At present, China’s industrial robots are undergoing a large-scale development of low-end equipment and a new stage in the development of high-end equipment intelligence. This is roughly the same as the direction of “integration of the two industries†driven by informatization to promote industrialization and industrialization to promote informationization, but it is currently manufactured in China. The level of automation in the industry is generally low. According to GGII's survey data, the utilization rate of manufacturing automation equipment in China is 58%, while the industry average is 72%. This means that the fusion of China's robotics industry and artificial intelligence will be hampered before it reaches a certain level of automation.
In addition, the intelligentization of the robot industry cannot be separated from the formulation of transmission standards, including transmission interfaces, transmission data, and cloud platforms. Different companies currently adopt different standards and are not common to each other, and this situation also exists in the field of production. In the 3C and mobile phone industry survey held recently by the senior engineering robot, a person in charge of Jiashun Intelligence once stated that all the AGV wheels produced by the company were mainly personalized, and the industry lacked corresponding standards. It is more difficult to formulate standards alone, and there are some “rules†that have been formed within the industry. Many companies are following this set of “rules†for production. To break this situation, it needs a gradual process.
Therefore, in the process of standard setting, we should also follow this rule, first establish corporate standards, and then gradually unified into national standards.
Opportunities are born of challenges
Constrained by the immaturity of sensors, robot vision, and artificial intelligence underlying technologies in China, even if artificial intelligence is used in the field of industrial robots at this stage, it may not be able to integrate the two.
The use of artificial intelligence in production is more complex, but its ultimate result must be the large-scale emergence of unmanned factories. The problems that need to be solved at this stage are the flexible production problems, including control technology, and the overall safety monitoring technology of the robots. The status of each robot, the status of the instrument, and the state of the production line are pre-warning, and the automation requirements are high. Most enterprises in China are still Unable to meet this requirement.
However, in the field of logistics and warehousing, artificial intelligence has begun to integrate with industrial robots. The largest robot warehouse in China built by the rookie network and the fast warehouse has recently been put into use in Huiyang, Guangdong. Different from the past, only a few dozen robotic warehouses have different robots. There are hundreds of robots in this warehouse. They are both cooperative and independent. They use Ali's artificial intelligence and AGV technology of fast warehouses, and rookie networks. Fast-forward companies will replicate this model in multiple warehouses.
In addition, domestic robotics companies are developing towards system integrators, facing end-users, can be closer to actual needs, and thus improve their own technologies, and also make industrial robots more in line with actual production requirements, thereby stimulating industrial robots and automation equipment. Popularization, indirect, is a barrier to the integration of artificial intelligence and robots.
The unmanned factory is the deepening of machine substitutions, but it also involves the issue of labor costs. With the disappearance of China’s demographic dividend and rising labor costs, machine substitution will be imperative.
Domestic robotics companies are developing towards system integrators, facing end-users, can be closer to actual needs, and thus improve their own technologies, and also make industrial robots more in line with actual production requirements, which in turn drives the popularization of industrial robots and automation equipment. Indirect pacification obstacles for the integration of artificial intelligence and robots.
At present, there are two main obstacles to the robot industry in China: artificial intelligence-related technologies are not mature enough, and the integration with manufacturing industries is slow; the intelligentization of the robot industry lacks the designation of transmission standards.
In China, robots are hailed as “the crown jewel of the manufacturing industryâ€, which is not only a key support for the development of advanced manufacturing industries, but also an important entry point for improving people’s lifestyle. As one of the ten key technologies for digital transformation, robotics will add new momentum to China's economic transformation and upgrading under the new normal.
With the arrival of the artificial intelligence era, robotics will be further integrated with artificial intelligence, information technology, communication technology, and manipulation technology. Correspondingly, the robot industry will also evolve from the electric age and the digital era to the intelligent era. Robotics will evolve from traditional industrial technologies such as controllers, servo motors, and speed reducers to artificial intelligence technologies such as machine vision, voice processing, and cognitive learning.
The weak foundation is fusion
In the field of industrial manufacturing, artificial intelligence technology is indispensable. Qian Hui, general manager of Shanghai Fanuc Robot Co., Ltd., said that the integration of artificial intelligence and industrial machine manufacturing is mainly in the field of image recognition and sound recognition, and image recognition is the more common application method in industrial machine manufacturing. Therefore, from the perspective of the domestic artificial intelligence field, with the promotion of relevant policies, the future will be second only to the development of the Internet industry, becoming a very large industrial form in the future.
At present, China’s industrial robots are undergoing a large-scale development of low-end equipment and a new stage in the development of high-end equipment intelligence. This is roughly the same as the direction of “integration of the two industries†driven by informatization to promote industrialization and industrialization to promote informationization, but it is currently manufactured in China. The level of automation in the industry is generally low. According to GGII's survey data, the utilization rate of manufacturing automation equipment in China is 58%, while the industry average is 72%. This means that the fusion of China's robotics industry and artificial intelligence will be hampered before it reaches a certain level of automation.
In addition, the intelligentization of the robot industry cannot be separated from the formulation of transmission standards, including transmission interfaces, transmission data, and cloud platforms. Different companies currently adopt different standards and are not common to each other, and this situation also exists in the field of production. In the 3C and mobile phone industry survey held recently by the senior engineering robot, a person in charge of Jiashun Intelligence once stated that all the AGV wheels produced by the company were mainly personalized, and the industry lacked corresponding standards. It is more difficult to formulate standards alone, and there are some “rules†that have been formed within the industry. Many companies are following this set of “rules†for production. To break this situation, it needs a gradual process.
Therefore, in the process of standard setting, we should also follow this rule, first establish corporate standards, and then gradually unified into national standards.
Opportunities are born of challenges
Constrained by the immaturity of sensors, robot vision, and artificial intelligence underlying technologies in China, even if artificial intelligence is used in the field of industrial robots at this stage, it may not be able to integrate the two.
The use of artificial intelligence in production is more complex, but its ultimate result must be the large-scale emergence of unmanned factories. The problems that need to be solved at this stage are the flexible production problems, including control technology, and the overall safety monitoring technology of the robots. The status of each robot, the status of the instrument, and the state of the production line are pre-warning, and the automation requirements are high. Most enterprises in China are still Unable to meet this requirement.
However, in the field of logistics and warehousing, artificial intelligence has begun to integrate with industrial robots. The largest robot warehouse in China built by the rookie network and the fast warehouse has recently been put into use in Huiyang, Guangdong. Different from the past, only a few dozen robotic warehouses have different robots. There are hundreds of robots in this warehouse. They are both cooperative and independent. They use Ali's artificial intelligence and AGV technology of fast warehouses, and rookie networks. Fast-forward companies will replicate this model in multiple warehouses.
In addition, domestic robotics companies are developing towards system integrators, facing end-users, can be closer to actual needs, and thus improve their own technologies, and also make industrial robots more in line with actual production requirements, thereby stimulating industrial robots and automation equipment. Popularization, indirect, is a barrier to the integration of artificial intelligence and robots.
The unmanned factory is the deepening of machine substitutions, but it also involves the issue of labor costs. With the disappearance of China’s demographic dividend and rising labor costs, machine substitution will be imperative.
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