As Unitree's earliest institutional investors, @GeekParkHQ is in the room at the company's IPO afterparty. Below are founder Wang Xingxing's remarks, edited and translated by GeekPark.
Ten years. It has gone quickly, and it has only been ten years. We believe that with your support and our own work, the next five to ten years will bring more surprises and more in return. Thank you for your trust. Today we formally listed on the Shanghai Stock Exchange, and it went well, but I believe this is only our starting point.
On behalf of Unitree's board and all of our employees, I want to extend the warmest welcome and my sincere thanks to the leaders, guests, and friends who took the time to be here tonight.
What we have achieved would not have been possible without the support of government at every level, and without Spring Festival Gala, which helped turn Chinese robotics into a technology symbol recognized around the world. Over the past few years, the global impression of Chinese robots has been rewritten. Today, most of the robots actually in use across the United States, Europe, and Japan are made in China. That is something to be proud of. What we want, above all, is for robots to be genuinely used in work and in everyday life.
That is looking back. Let me share a little of how we see what comes next.
Tonight, for the first time, I want to put forward what we are calling Physical AI Robot Self-Evolution 1.0 (物理 AI 机器人自进化 1.0). I believe this is the thing most worth doing, now and in the years ahead. Today, across our company and the wider industry, the way we build robot programs and applications is still very primitive. Current AI can do far more.
The idea is simple. We take the world's best large models and give them a set of tools and skills we define. We let the AI automatically search the latest leading research and open-source code, generate its own robot training code, and train itself, including in simulation and with video-generation models. We then move that onto physical robots for further training. The results are scored by the AI itself, with human evaluation in the loop as well. Once that loop is running, it iterates extraordinarily fast. Given today's compute, its speed of programming and improvement already exceeds what a team of hundreds of engineers could do by hand.
Why does this matter? A few reasons.
First, foundation models around the world take a clear step forward every month or two. Inside this loop, we can ride the best models available anywhere to lift our own capability. Put plainly: even in a stretch where my colleagues and I do not get better, the models do, and our self-improving loop keeps advancing.
Second, more data. Every part of the process, the programming, the simulation, the test and evaluation metrics, produces data at scale. More data makes the model stronger. And because our company ships a large amount of hardware, we can deploy across thousands or even tens of thousands of machines, which means the data can grow exponentially in the months ahead.
Third, the skills compound. We add one skill today, another tomorrow, another the day after. The skill base and its ecosystem keep growing.
I see no reason to avoid this. Building a single VLA model, or a single video model, on its own, is no longer enough for where competition and iteration are heading. What we need is a self-planning model architecture. In the early stages the process still needs enough human engineers deeply involved, defining the right metrics, the right pathways, the right algorithms, and the success rates we hold ourselves to. As the model's capability rises, it grows stronger on its own. Our aim is to open the automation era of Physical AI robotics this year and beyond.
I have said a lot, and some of you may feel I am telling a story. Ten years ago, many people who heard me thought exactly that. But I believe that in the next five to ten years, we, and society as a whole, will make this real.
Thank you again to the leaders and guests for your care and support for Unitree. I wish everyone good health and every success. We will keep our heads down and refine the technology, and we look forward to walking even further alongside all of you. Thank you, and let's raise a glass together.
