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Yu Haibin: The next generation of robot technology reserves are weak As far as scientific research institutions are concerned, how to solve the pain points of the above-mentioned robot industry? What new industrial breakthroughs are possible in robotics research? From the laboratory to industrialization, how to solve the "Valley of Death" problem? How do you view the robot industry on the wind? With these questions, the reporter interviewed Yu Haibin, director of the State Key Laboratory of Robotics and director of the Shenyang Institute of Automation, Chinese Academy of Sciences.
The next generation of robot technology stocks weak <br> <br> Reporter: I see in the laboratory are mostly "sophisticated" science and technology research and development of robots, how do you see the industrialization of these laboratory techniques?
Yu Haibin: The main mission of the State Key Laboratory is not to provide the industry with mature technology at the present stage. Its positioning is the source technology for future robot development, and it is trying to make subversive innovation work. The latter is not completed in the short term.
In fact, for the robot industry, there is a different innovation value chain from basic research and development to industrial application. In this chain, different subjects have different division of labor. Key laboratories need to be clearly positioned, focusing on basic technology research and development and high-end technological breakthroughs; at the same time, it is necessary to make good connections with other social innovation entities.
Reporter: How can China's robotics industry avoid the problem of "high-end hollow lost position and low-end redundant construction"? How to deal with basic research?
Yu Haibin: This is divided into two levels. On the one hand, China is carrying out a huge machine substitution campaign, and support for the robot industry is definitely necessary. On the other hand, while caring about the real industry, more research is needed on the development and basic research of front-end technologies.
The problem now is that basic research and development is a process of long-term accumulation of technology, and technological transformation needs to be matched, and the economy may not be effective immediately. Everyone is very anxious, everyone is looking at the back-end industry, and the emphasis on the front-end links and investment are less.
We hope to make some technical reserves at the front end to prevent the industry from hollowing out. Although the front-end technology is not easy to be recognized by the public, but everyone is going to do the flowering thing, then who is the seed to cultivate?
Reporter: In the field of robotics, is it possible to innovate basic technologies to open up new industrial directions?
Yu Haibin: Classification of robots from the perspective of technology carriers, one is traditional robots based on opto-mechatronics; the other is next-generation robots driven by technologies such as information, biology and new materials.
A core trend in change is digitalization, networking and intelligence, as well as advances in new materials. This may be a major theme of technology trends in the next decade.
The second trend is that robots are integrated with humans and organisms through the combination of bio-ontology technology. However, how biotechnology can be combined with opto-mechanics is a challenging problem. The latter's technological prototype is not yet mature.
Reporter: In the field of next-generation robots, are we having a smaller gap with foreign countries?
Yu Haibin: To some extent, it can be said that because the technology that truly forms a monopolistic market is still few, it is in a state of chaos. China's Internet giants have made a lot of explorations in artificial intelligence.
But in fact, we still have gaps in ICT, bio-driven technologies, etc. Our technology reserves are still weak, and we have not yet formed an innovative mechanism, so we cannot be optimistic.
At the same time, we must also pay attention to the greater uncertainty in these areas. According to Gartner's emerging technology maturity curve, artificial intelligence and intelligent robot industrialization still have a long way to go. In the process of drastic changes, these areas need to rely on business acumen, capital promotion, and technology accumulation to promote synergy. Nothing.
Founded in 1958, the Shenyang Institute of Automation of the Chinese Academy of Sciences is one of the earliest units in China to carry out robot research. The institute has cultivated Shenyang Xinsong robot, the first robot listed company in China, and relies on the Institute's State Key Laboratory of Robotics. The backbone of basic technology research.