Since 2021, the robotic track has been popular with capital. There are 299 robot projects that have been financing in the first 10 months, of which 253 are concentrated in c rounds, and the financing of 79 projects is above billion yuan.
The sky-eye check data also shows that this new robot related enterprise has exceeded 100,000. Up to now, there are more than 320,000 robots related companies (enterprise names or business ranges). In the region, there are more than 70,000 related companies in Guangdong Province, accounting for 22.02%. It is the second in Jiangsu nearly 2 times.
Therefore, in this industry and capital double background, 36 was held in Shenzhen on November 25 in Shenzhen. The summit invited many investors, scientists, scholars, outstanding entrepreneurs and related practitioners to discuss new trends in the industry, and how to make technology into the public in the new environment. The guests include the Chinese Academy of Engineering Tan Jianrong, Dashamith, Ministry, Guan Chi, General Manager, General Manager of Lan Chi, Alibaba Bada Human Voice Laboratory Researcher, Gaoxian Robot founder and CEO Cheng Haotian, big robot CEO Wang Guangneng, the founder of the future robot, Li Luyang, the executive president of Yunhara Technology and CTO Lin Xiaojun and other guests.
At the summit, the generic CEO King Guangneng believes that combined with artificial intelligence technology, you can make the robot to understand the environment and interact with the environment, and make everyone useful to use it very easily. It is an important direction for the development of the robot.
The following is the "Edited) of Wang Guangneng Speech (edited):
What is the big robot? Summarize a sentence,Use robot technology to serve. At present, the big economy willNearly 400 people, more than half of them are engineers, and members come from more than 20 countries.. We have set up a double headquarters in China and Germany, mainly producing in Shenzhen.But later in Foshan, establish a production base for 15,000 units.
Now, the market has appeared in many kinds of robots, more typical as URs, there are several domestic, while the big robots have certain differentiation. For example, six-axis collaboration robot, in terms of various performance, such asIntelligence,Precision,Safety protection levelWait, excellent performance, these indicators are at a high level in the industry.
But in the past two years, there have been many companies in collaborative robots, and there are almost over 130 in the world. Observing these robots will find a common feature: relative to traditional industrial robots, they just step forward, this short step is to make robots better and safer. But in fact, this is not the ultimate morphology of the robot, and the robot should develop in the intelligent direction. So we believe that combined with artificial intelligence technology, we can let the robots perceive the environment and interact with the environment, and can make everyone use it very easily. This is an important direction for the development of the robot industry.
So our philosophy is that the robot can sense the environment and interact with the environment. The most important thing is that it can make more people to use, operate, such as the clerk of the company’s front desk, and the production workers can operate, and it is best to be able to industrial production lines. Let it work. Instead, like traditional industrial robots, engineers who need trained can be used by programming.
So we develop third-generation collaborative robot – Maira,It is a robot combined with artificial intelligence. In March this year, we have released many international awards, such as the Red Point Award, 2021 European Product Design Award, German Innovation Award. As our third-generation robot, Maira has a very high hard indicator, because as a seven-axis robot arm, its own indicator foundation is very good, including load capacity, arm exhibition, and some improvement robots on the market. . In terms of freedom,The third generation robot is upgraded to seven degrees of freedom.
At the same time, we have developed some of the internal core components, including motors, encoders, can be achieved with 1.4 m arm exhibitions in collaboration robots, and the repeated positioning accuracy reaches 6 to 10 microns, which is the highest level in the industry. It takes a lot of efforts to achieve this level, including sensors, structures, real-time control, and model-based control.
In addition, the speed of MAIRA can reach 4.5 meters per second. We also have a lot of interfaces, and even 3 airways are in it. A 6-dimensional force sensor is added, and the accuracy of force can reach 0.1 Newton.
The collaborative robot is to be safe, so it will not be high. So how do we solve safety? Most of the collaborative robots on the market are now stopped from being stopped, and avoid harm to operators. So we joined the sensor to let the robots understand the environment.Perceived the action of people within 3 meters around.Just like an automatic driving car, you can perceive the surrounding situation in advance.So this is a more advanced security measures that can surpass the current collaboration robot.
In terms of operation, people don’t need to touch directly. When no one is no, it can move normally. When someone can feel people, it doesn’t need you to stop in the future. Even you suddenly intervene, it can also feel and avoid actions.
What’s more interesting is that a very important factor that makes the machine’s smart is visual. After the robot visual, it can do a lot, a basic function is that it can scan the surrounding environment, including the operator, table, table, objects that can be captured, etc., can be scanned. And in its system, the three-dimensional model is built and do it in the virtual environment.
After the robot comes with 3D visual, there is no need to add additional visual, and its own visual is enough to understand the environment and can operate. Like this video, various forms, various hardness objects, it can be captured. And things that are randomly thrown, it can also be identified, which is the benefits of visual and artificial intelligence.
In industrial, welding, grinding, dispensing, etc., requires a very complex robot programming, after robotic visual and artificial intelligence, allowing the entire program to make it very simple. Our philosophy is to let people and robots communicate directly.
Let’s make the mechanical arm that can do industrial.And let speech control it, ie voice recognition. In the first half of our Demo, it is basically a semantic understanding. We also integrate six-dimensional tactile sensors that allow the robot to operate very accurately.
In fact, after collaboration robots are used with artificial intelligence, they can apply in very many fields. Like traditional industrial automation workshops, logistics industry, automotive production workshops, medical automation laboratories, machine tool processing workshops, and even in the field of medical, surgery, and rehabilitation.
And intelligence, it can avoid complex programming. We believe that the future robots can develop like a smart, even the body is likely to be closer.