中国机器人学校教机器人学人类任务，出货占全球97%

When you talk about this whole humanoid robot industry. And really, China dominates this report that came out last week that found that China's humanoid robot makers are commanding more than. Look at this. This pie chart says it all. More than 97% of global shipments in the first half of 2026. That's according to industry data from Smart Analytics Global. And according to their calculations, Shanghai based aggregate had the top spot in.

The company had 44% of those global shipments. That is some 8400 units in the just the first half alone. One industry group also estimates that China installed 300,000 robots back in 2024, and that vastly outnumbers the around 38,000 machines that were installed in the U.S. last year. This one on your screen, take a look at right now, was being tested for its real world abilities at last year's World Humanoid Robot Games in Beijing.

I think we spoke to Jessie Liu from the Max yesterday, right, about what is going to be a key theme at this conference this year in Beijing, he says. It's really about moving some of these robots into the real world, into the open space environment. The physical, I write it, it's not it's not even close. When you look at how far China's actually come on, many of these fronts, and specifically, of course, when it comes to robots and of course, really the upgrades that we then need to see and should come to expect, I think in terms of the capacities of robots, and I think also interesting is to I mean, people talk about this as a zero sum game.

To what extent do robots will robots replace humans? Um, I think that is a question. Anyway, that has somewhat been answered. And not just this time, right? You look back at the course of how, uh, manufacturing has been automated that hundred and 20 years. I mean, there has been, uh, this takeover of robots in an industrial side. And I think moving forward, I think in the physical and in the retail front, what will the relationship between robots and humans?

And by the way, that is not a philosophical question that is more pragmatic and, uh, practical at this point in time. Let's bring in Kenneth Kenneth Wrenn. He's the director of overseas solutions at Real Man Robotics. It's a Chinese embody. I firm actually runs a humanoid robot data training center in Beijing. Kenneth. Good morning. Thank you for joining us on the show. Uh, why don't we start with that? What is the question that you guys get from the industry and your community and your clients between, you know, the future relationship between robots and people?

Let's start there. Uh, okay. For the robot and, uh, the human workers, uh, we think that the robot cannot replace the human workers. Or maybe the human workers will not lose their jobs, because why we develop or why we design the robot. We want the robot to really have people help our human workers do something in the real task, not to replace the human workers. And, um. Uh, for example, we think that the robot can help human workers to do what the people don't want to do or what the people cannot do.

Even in some dangerous scenarios. And, uh, to be honest, uh, we think that, you know, in the near future, the robot cannot replace or cannot, um, control the whole the task independently without the humans. So maybe we need to have a human and robot collaboration, for example, uh, robot to some standardized task and, uh, the human to some judgment, have some high risk, uh, to savings. And, um, I think that is why we use, uh, JL in our way, a tidy operation devices.

Because we think that to use the operation devices, we can control the robot anywhere remotely. And, uh, on the other hand, we think that, you know, when we use the Teddy operations devices or when we use the robot. Are there some roles that will be created? For example, we need some human workers. Help us to control the tele operation and devices, and we need someone to help us to do some data collection. So it means that, uh, the work will not be replaced.

They just change the word from the, you know, the director, uh, control, uh, direct control to the maybe manage you. So that is what we work with. We seem to not replace the human workers. Yeah. Can you just talk me through what it looks like in these robot schools that you have? What what what what does it take to trade a robot for. For one thing. And I know it could be a pretty costly sort of operation, but I would guess that you need a tremendous amount of training data.

Is there enough of that training data out there now? Uh, yes. You know, more and more company has launched the different type of the the robot. So it means that the robot has maybe beyond from the lab or some simulation, uh, environment to the real world environment. So maybe first about the robot training platform. We think maybe next generation of the training platform we'll focus on, for example, like factory, like warehouse or even some service environment.

And, um, we don't want to teach the robot to some one or 2 or 3 specific action. We want a robot maybe can identify, even adapt to the different task, uh, different environment. You may some, I expect, uh, uh, situations and, uh, uh, that's why we think there's maybe three steps or three stages of the robot, uh, training our robot. Maybe robot futures first is about to use some tiny operation devices to control the robot.

Uh, for example, put some. What? Put a bottle of water on the table or do some window cleaning. Although maybe it will use the 5 minutes or 10 minutes. But you know, when we moved to the second stage, that is where we will collect some data still in this process. Or maybe we can know the details of each actions, and we can continue to move the third stage at that will to train the mode of the robot by this newly collected dataset.

So it means in the future when we have more and more data, so we will have more and more details. The robot will be more and more quickly, maybe from the 5 minutes to 3 minutes to when it's even 30s. And we since the long time, the long time ago it that the robot can planning or making making some decision about themselves. That is what we want. Oh, okay. Um, so, I mean, riddle me this. So, you know, in a year's time, because you're very close to the data and what robots are capable of doing.

And I think part of I think what you guys do is upgrading that skill set. What would be the most advanced thing a robot you think would be capable off in a year's time. Uh, you mean, what's the robot? We really do, right? Uh, in the in the near future, we think that. Yes. Um, for example, uh, to some highly standardized task, all to some high repetitive task, for example, moving the box. And, uh, you know, sometimes, um, we have some problem, for example, like, uh, night shift demand, uh, for example, like some labor shortage problem.

I think that is the robot can do in the near future because they can really help humans to solve this problem. To replace the human workers. Okay. Now I want to get a sense of the scale of your business. Given that this is a a booming industry, it's also a policy priority in in mainland China. Talk to us about your industry, your corner of the industry. What is competition like? How many roadblocks go to your school?

I know that sounds like a strange question. Just just give viewers who are watching from the outside an idea of your world. Kenneth. Uh, actually, our robot school will totally have a 150 robot to different task in the different scenarios, and we collect different datas. We also, you know, our customers also, they want to define how they want to design the different the, uh, their own scenarios. And we also can help our customers to this task.

And um, do you want this process so we can we also use the tag elimination devices to control the robot to collect each details and each datas. And, uh, we since this is a good way and this is a maybe it's a quick way for now because, you know, it's a model. We need t