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Chinese automakers are following Tesla’s bet that robots are the next big profit machine

Technical progress has encouraged a new batch of companies to jump in on the promise of profits from humanoid robots. And they're all Chinese automakers.

The allure of humanoid robots as the next big profit engine has captured the attention of Chinese automakers, following in the footsteps of Tesla CEO Elon Musk's Optimus robot. These automakers, including Xpeng, AiMOGA, BYD, Changan, GAC, Li Auto, SAIC, and Seres, are investing heavily in the development of humanoid robots, recognizing the potential for significant returns.

Xpeng, in particular, has been the most focused on autonomy and humanoid robots among Chinese automakers. Its founder, He Xiaopeng, and co-president Brian Gu have been aggressive in their pursuit of this technology, even allocating a significant $100 million of their own funds to the robotics unit. The company's bet lies in Iron, a humanoid robot designed for commercial deployment.

Chinese automakers possess a manufacturing edge, giving them a considerable advantage in bringing humanoid robots to market. However, they still need to catch up with Tesla on the AI side to achieve commercial-scale deployment. Other notable companies, such as Agility Robotics, Apptronik, Figure, and Hyundai's Boston Dynamics, are also racing to commercialize humanoid robots. Boston Dynamics, with its partnership with Google's DeepMind, is inching closer to its goal of deploying Atlas robots for various tasks by 2028.

The competition for humanoid robots extends beyond automakers, with suppliers like Mobileye acquiring humanoid robot startups and even electric vehicle manufacturer Rivian exploring robot technology through its Mind Robotics spinoff. As the race intensifies, the question remains whether Chinese automakers can successfully combine their manufacturing prowess with the AI advancements necessary to compete with the leading companies in this emerging field.

Written by urgent.news from TechCrunch's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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