According to techbuzz, the Shanghai-based company AgiBot has recently solved a key challenge in industrial automation — it can teach a robot to complete complex manufacturing tasks in just 10 minutes. This breakthrough technology has the potential to redefine global manufacturing production methods.
AgiBot's approach combines remote human operation with reinforcement learning. In practical applications, workers guide robots through tasks remotely, after which an artificial intelligence system takes over and optimizes the actions, achieving self-improvement. This "real-world reinforcement learning" allows robots to adapt to new factory processes in a very short time.

Currently, AgiBot's G2 humanoid robot has been deployed on Longchi Technology's production line, responsible for assembling components of smartphones and VR headsets. Feng Yuheng, a representative of AgiBot, said: "Traditional industrial robots require a programming cycle of several weeks, while our robots can learn a new task in just ten minutes."
AgiBot's chief scientist Luo Jianlan previously conducted cutting-edge robot research at the University of California, Berkeley. He combined reinforcement learning with industrial practice, driving the implementation of this human-robot collaboration model. The company also operates a robot learning center, where operators remotely train robots to generate high-quality data, providing continuous support for algorithm optimization.
International experts have also shown interest in this breakthrough. Professor Jeff Schneider from the Robotics Institute at Carnegie Mellon University stated: "AgiBot's technology represents the forefront of reinforcement learning in industrial automation and should be able to achieve complex task automation with high reliability."
In contrast, U.S. startups Skild and Physical Intelligence are also exploring similar adaptive robot algorithms. However, China's vast manufacturing ecosystem provides AgiBot with unique conditions for technological implementation. China not only has a complete supply chain and rapid prototyping capabilities, but also advantages in large-scale production and data collection.
Industry insiders believe that AgiBot's success marks an important trend: the speed of robot training is becoming a new dimension of competition in future manufacturing. Robots that can be retrained in just a few minutes will allow factories to gain unprecedented flexibility and resilience.
