In recent years, China's robot industry has developed rapidly, the industry scale and market space have been expanding, and the entire industry chain has shown a relatively good development trend. However, it cannot be ignored that it still faces core technology research and development, artificial intelligence integration, and international cooperation. Bottleneck constraints.
Key: Gather high-end talents and break through core technologies
According to public data, the sales volume of domestic industrial robots in 2017 was 37,825 units, a year-on-year increase of 29.8%, while the sales of foreign robots in China was 103,191 units, a year-on-year increase of 71.9%.
"Domestic robots have a small share in the high-end market. In the field of 'main roads' such as the automobile industry, the performance, speed and stability of domestic industrial robots are still relatively large compared with developed countries." Academician of Chinese Academy of Sciences, Huazhong University of Science and Technology Ding Han, dean of the School of Science and Engineering, told the journal Chinese Journal of Science and Technology.
At present, most of China's robots are at the low end level, and there is a gap between high-end robot products and developed countries, and at the same time facing foreign countries blocking the core technology of robots. In Ding Han's view, China's robot research and development should be refined. In order to get rid of the low-end of domestic robots, a group of high-tech talents are needed to do the research and development of “10 years of grinding a swordâ€. “In this industry, deep-rooted and thorough, attracting high-level talents to enter the real economy, the only way to make high-end equipment.â€
The ongoing “Major Intensive Robot Research Program†funded by the National Natural Science Foundation of China is precisely aimed at achieving breakthroughs in basic theory and key technologies to improve robot performance and reliability.
"It is a great achievement to enter the main road industry. It is necessary to gather a group of high-end core technical talents to stick to it in this industry. After ten or twenty years, it will definitely come out." Ding Han said.
Direction: Breaking through robotic cognitive intelligence
In March 2016, the artificial intelligence robot AlphaGo and the Korean chess player Li Shishi’s Seoul war shocked the world, and the robot’s catch-up with humans seemed to be only a moment. Artificial intelligence has entered the new development stage of autonomous human-machine collaboration of big data media, and is advancing from perceptual intelligence to cognitive intelligence. This has become an important engine for the breakthrough and promotion of the robot industry in the future.
The introduction of artificial intelligence technology has brought new changes to the development of robots. Zhang Wei, academician of the Chinese Academy of Sciences and dean of the Institute of Artificial Intelligence of Tsinghua University, believes that artificial intelligence has just started, and is now in its infancy, and has not yet formed a theoretical system. Forming a unified structure, this gives China an excellent opportunity to open up new areas on the common starting line.
Qu Daokui, founder and president of Xinsong Robot Automation Co., Ltd. said: “The robot in the past was a 'disabled person', it has no perception, like 'scorpion', you tell it how to do it, how to do it.†The operating environment of the manufacturing industry is changing, and the robot without perception cannot adapt to the working environment.
Nowadays, using artificial intelligence technology to introduce various sensing systems into robots and enhance human-machine cooperation, it is expected to bring new applications to robots.
However, the problem of unexplained and robustness of artificial intelligence systems should also be deeply valued. "Taking artificial intelligence in medical health as an example, artificial intelligence can read a film to identify a patient with cancer, but it can't be justified. This is its unexplained problem; if you add some interference signals, it may Will make a completely wrong judgment, this is the problem of robustness." Zhang Wei explained.
The future: international cooperation for mutual benefit
Robots can be applied to various fields, and the related technologies rely on deep learning algorithms far from enough. They need the common support of industry experts and industry data. Using the expertise and data in each segment, entrepreneurs and scientists in related fields work together to promote the sound development of the robot industry as a whole.
Karel Eloot, a senior managing partner at McKinsey Global, said at the 2018 World Robotics Conference that the robotics industry may have only been in China for decades. In the past, most robotics were supplied by multinational companies, with less than 5% of robots and robots. Technology is made by Chinese companies. It is estimated that in 2020, China's robot demand will account for 40% of global demand, which is both an opportunity and a challenge.
This means that the Chinese robot industry will have a huge change. Improving quality and achieving sustainable development is a common challenge for the global robot industry.
Xin Guobin, deputy minister of the Ministry of Industry and Information Technology, advocated that in the new era of global collaborative open sharing, the global robotics field should jointly establish a new concept of high-quality development, jointly build a new global collaborative research and development system, jointly build a new global industrial cooperation ecosystem, and jointly create a global The application deepens the new landscape.
Key: Gather high-end talents and break through core technologies
According to public data, the sales volume of domestic industrial robots in 2017 was 37,825 units, a year-on-year increase of 29.8%, while the sales of foreign robots in China was 103,191 units, a year-on-year increase of 71.9%.
"Domestic robots have a small share in the high-end market. In the field of 'main roads' such as the automobile industry, the performance, speed and stability of domestic industrial robots are still relatively large compared with developed countries." Academician of Chinese Academy of Sciences, Huazhong University of Science and Technology Ding Han, dean of the School of Science and Engineering, told the journal Chinese Journal of Science and Technology.
At present, most of China's robots are at the low end level, and there is a gap between high-end robot products and developed countries, and at the same time facing foreign countries blocking the core technology of robots. In Ding Han's view, China's robot research and development should be refined. In order to get rid of the low-end of domestic robots, a group of high-tech talents are needed to do the research and development of “10 years of grinding a swordâ€. “In this industry, deep-rooted and thorough, attracting high-level talents to enter the real economy, the only way to make high-end equipment.â€
The ongoing “Major Intensive Robot Research Program†funded by the National Natural Science Foundation of China is precisely aimed at achieving breakthroughs in basic theory and key technologies to improve robot performance and reliability.
"It is a great achievement to enter the main road industry. It is necessary to gather a group of high-end core technical talents to stick to it in this industry. After ten or twenty years, it will definitely come out." Ding Han said.
Direction: Breaking through robotic cognitive intelligence
In March 2016, the artificial intelligence robot AlphaGo and the Korean chess player Li Shishi’s Seoul war shocked the world, and the robot’s catch-up with humans seemed to be only a moment. Artificial intelligence has entered the new development stage of autonomous human-machine collaboration of big data media, and is advancing from perceptual intelligence to cognitive intelligence. This has become an important engine for the breakthrough and promotion of the robot industry in the future.
The introduction of artificial intelligence technology has brought new changes to the development of robots. Zhang Wei, academician of the Chinese Academy of Sciences and dean of the Institute of Artificial Intelligence of Tsinghua University, believes that artificial intelligence has just started, and is now in its infancy, and has not yet formed a theoretical system. Forming a unified structure, this gives China an excellent opportunity to open up new areas on the common starting line.
Qu Daokui, founder and president of Xinsong Robot Automation Co., Ltd. said: “The robot in the past was a 'disabled person', it has no perception, like 'scorpion', you tell it how to do it, how to do it.†The operating environment of the manufacturing industry is changing, and the robot without perception cannot adapt to the working environment.
Nowadays, using artificial intelligence technology to introduce various sensing systems into robots and enhance human-machine cooperation, it is expected to bring new applications to robots.
However, the problem of unexplained and robustness of artificial intelligence systems should also be deeply valued. "Taking artificial intelligence in medical health as an example, artificial intelligence can read a film to identify a patient with cancer, but it can't be justified. This is its unexplained problem; if you add some interference signals, it may Will make a completely wrong judgment, this is the problem of robustness." Zhang Wei explained.
The future: international cooperation for mutual benefit
Robots can be applied to various fields, and the related technologies rely on deep learning algorithms far from enough. They need the common support of industry experts and industry data. Using the expertise and data in each segment, entrepreneurs and scientists in related fields work together to promote the sound development of the robot industry as a whole.
Karel Eloot, a senior managing partner at McKinsey Global, said at the 2018 World Robotics Conference that the robotics industry may have only been in China for decades. In the past, most robotics were supplied by multinational companies, with less than 5% of robots and robots. Technology is made by Chinese companies. It is estimated that in 2020, China's robot demand will account for 40% of global demand, which is both an opportunity and a challenge.
This means that the Chinese robot industry will have a huge change. Improving quality and achieving sustainable development is a common challenge for the global robot industry.
Xin Guobin, deputy minister of the Ministry of Industry and Information Technology, advocated that in the new era of global collaborative open sharing, the global robotics field should jointly establish a new concept of high-quality development, jointly build a new global collaborative research and development system, jointly build a new global industrial cooperation ecosystem, and jointly create a global The application deepens the new landscape.
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