TAIPEI, Taiwan, July 20, 2026 (GLOBE NEWSWIRE) -- The global humanoid robot industry is moving from technology validation to commercial trials, and the competitive focus is shifting to who can build a sustainable business model and who controls key components.

US-China Divergence: Intelligence vs. Scale

The AI ecosystem remains the US's greatest advantage in humanoid robotics. As generative AI, Vision-Language-Action (VLA) models, and world models mature rapidly, the value of humanoid robots is shifting from hardware specifications to intelligence. Major players such as NVIDIA continue to advance Physical AI platforms including Cosmos, Isaac Lab, and GR00T; Google DeepMind has launched Gemini Robotics to strengthen robotic understanding; and OpenAI is participating in embodied AI model development through investment and research. Together, US firms are forming a complete technology ecosystem spanning large language models, robotics platforms, simulation environments, and AI chips. This reflects the view that as humanoid robots move into complex environments, competitiveness will depend on environmental understanding, multi-step task planning, cross-scenario generalization, and continuous learning.

US companies' strategies have also shifted from demonstrating hardware capability to building AI capability. Tesla's Optimus Gen 3 continues real-world validation on factory floors, with future production focused on improving the robot's generalization so the same AI can quickly adapt to different work environments. Figure AI is deepening partnerships with large enterprises to train its models on large volumes of real factory data. Boston Dynamics combines years of motion control expertise with AI to strengthen autonomous operation in complex environments. Apptronik generates high-quality data through extensive real-world deployment, feeding it back into the Gemini Robotics training pipeline. In short, US firms are focused on building a data flywheel, aiming to continuously refine their models with large volumes of real-world data and differentiate their products through AI capability.

By contrast, China's humanoid robot development more closely resembles the early development model of electric vehicles: building a complete supply chain and lowering costs quickly, then achieving economies of scale through high shipment volumes. Under this approach, core components such as servo motors, reducers, and lithium batteries can be localized quickly, lowering costs and significantly shortening development cycles.

The two most representative companies are Unitree and Agibot: Unitree has built a reputation for high value for money and rapid product iteration across both quadruped and humanoid robots, while Agibot scaled its production from 1,000 to 5,000 units in about a year, and then from 5,000 to 10,000 units in just three months. This shows that China's advantage today extends beyond manufacturing cost. Its supply chain maturity allows new products to complete component validation, pilot runs, and mass production quickly, giving it a faster iteration pace than its Western competitors.