Xiaomi Uses Humanoid Robots in EV Factory: Boosts Productivity & Speed
Xiaomi, the Chinese electronics giant, is deploying humanoid robots in its electric vehicle (EV) factory as it seeks to boost productivity and address the challenges of rapid manufacturing, according to statements made by the company’s president, Lu Weibing. The trial, currently in its early stages, highlights the accelerating investment in robotics by Chinese companies and the potential for automation to reshape the automotive industry.
The robots, described by Weibing as being akin to “interns,” are capable of performing tasks such as installing nuts and moving materials across the factory floor. During a trial period, two humanoid robots were able to complete 90% of assigned work within a three-hour timeframe. This capability is particularly noteworthy given the speed of Xiaomi’s EV production line, which currently produces a new vehicle every 76 seconds.
“To integrate robots into our production lines, the biggest challenge is for them to keep up with the pace,” Weibing told CNBC during an interview at the Mobile World Congress trade show in Barcelona. “In Xiaomi’s car factory, every 76 seconds, a new car gets off the assembly line. The two humanoid robots are able to keep up our pace.”
While Xiaomi debuted its CyberOne humanoid robot in 2022, the company is not currently selling the product commercially. The current deployment focuses on evaluating the robots’ performance within a real-world manufacturing environment. Weibing emphasized that the robots are not yet undertaking official job roles, but rather are being used to assess their capabilities and identify areas for improvement.
The move underscores a broader trend within China, where companies are rapidly investing in and advancing robotic technologies. Analysts at RBC Capital Market project a global market for humanoid robots reaching $9 trillion by 2050, with China expected to account for 60% of that market. This projection, while considered optimistic by some, reflects the significant resources being allocated to robotics research and development within the country.
The rapid development of robotics in China is also being fueled by a growing number of companies entering the sector, with some, like Deep Robotics, recently launching initial public offerings (IPOs). This influx of investment and competition is driving innovation and accelerating the pace of technological advancement.
Xiaomi’s ambitions extend beyond consumer electronics, with the recent launch of its EV business signaling a strategic shift towards the automotive market. The integration of robotics into its manufacturing processes is seen as a key component of its strategy to achieve efficient and scalable production. The company believes that humanoid robots will eventually be able to “replace humans for certain work” and “accomplish work that humans couldn’t do,” further enhancing productivity and potentially reducing costs.
However, Weibing cautioned against overstating the near-term impact of humanoid robots, acknowledging that This proves still too early to accurately project the size of the market. Despite this, he expressed optimism about the long-term potential of the technology.
The challenges of integrating robots into high-speed production lines are significant. Maintaining pace with human workers remains a key hurdle, as demonstrated by the 76-second production cycle at Xiaomi’s EV factory. Successfully navigating this challenge will be crucial for realizing the full benefits of automation in the automotive industry.
The trial at Xiaomi’s EV factory represents a significant step forward in the development and deployment of humanoid robots in manufacturing. While still in its early stages, the initiative provides valuable insights into the potential of this technology to transform production processes and drive efficiency gains. The company’s approach, focusing on gradual integration and continuous evaluation, suggests a pragmatic strategy for harnessing the power of robotics in a complex and demanding manufacturing environment.