Beyond Electric Vehicles: Chinese Automakers Shift Focus to Humanoid Robotics
Hype around humanoid robots continues to build across the tech industry, driven by Tesla’s Optimus project and viral performance clips of Boston Dynamics’ Atlas robot. Behind the online buzz, physical robot capabilities are making real progress. Researchers now apply the same training methods behind large language models to physical machines, teaching robots to perform complex tasks in factory settings.
These advances are pushing a fresh wave of manufacturers into the robotics arena. Chinese automakers lead this push, investing heavily to build bipedal hardware.
Xpeng’s dedicated robotics arm secured over $900 million in fresh funding at a valuation exceeding $6.3 billion. IDG Capital led the round, joining major investors like Gaorong Ventures, Tencent, and Alibaba. Industry analysts noted this funding round as the largest single private investment in embodied machine technology to date.
Other major Chinese vehicle brands are moving just as fast. AIMOGA, the robotics division under Chery Automobile, began preparing for an initial public offering. At the same time, BYD unveiled a custom humanoid robot called Xiao Qi. Competitors including Changan, GAC, Li Auto, SAIC, and Seres are actively developing humanlike machines for commercial assembly work.
Xpeng follows Tesla’s robotics push closer than any other regional automaker. Industry advisor Michael Dunne, CEO of Dunne Insights, noted that Xpeng founder He Xiaopeng focuses heavily on autonomous hardware. Automobile profit margins continue to shrink due to intense price wars, making advanced robotics a far more profitable future market.
Confidence runs high internally. He Xiaopeng and co-president Brian Gu personally invested roughly $100 million into their robotics unit’s recent financing round. Their core goal focuses on Iron, a human-shaped robot designed specifically for factory assembly lines and commercial work environments.
Chinese vehicle manufacturers hold a distinct manufacturing advantage when building physical hardware. They own deep supply chains, local component factories, and massive assembly operations. Their main challenge involves building intelligent control software that can match Tesla’s processing capabilities.
Global competitors are racing toward similar goals. Hardware developers like Agility Robotics, Apptronik, and Figure continue testing machines for large-scale warehouse work. Hyundai-owned Boston Dynamics plans to bring its electric Atlas robot into its Georgia manufacturing facility to organize parts sequences by 2028. The company partnered with Google’s DeepMind team to speed up software development, setting up an official research center in the United States to teach machines complex movements like lifting, bending, and turning.
Other automotive suppliers are buying into the space as well. Intel-backed Mobileye acquired humanoid startup Mentee Robotics for $900 million earlier this year. EV maker Rivian continues testing internal automation projects, though its designs focus on traditional industrial tasks rather than humanlike shapes.
Vehicle manufacturers realize that building physical hardware represents only half the challenge. The ultimate goal involves building smart, reliable software that lets machines navigate real factory floors alongside human workers.
