Artificial intelligence (AI) is making a leap from the virtual realm into the physical world, with humanoid robots emerging as a pivotal application platform for embodied AI. Tesla recently revealed that its third-generation humanoid robot, Optimus, is poised to enter large-scale production, sparking considerable interest in the market. Industry experts note that, as a long-term strategic priority for Tesla, the successful mass production of Optimus is expected to fuel demand growth for key components—such as actuators, reducers, and sensors—in China. Several upstream manufacturers have already begun ramping up their production capabilities in anticipation of this development.

However, the industrialization of humanoid robots still encounters several hurdles. Core challenges include ensuring hardware reliability, enhancing the generalization capabilities of embodied AI algorithms, controlling costs, establishing industry compliance standards, and constructing closed-loop data systems.