Select Language:
Zhou Yunjie, the chairman and CEO of a major home appliance company and a delegate to the National People’s Congress, has emphasized the need to establish national open innovation platforms dedicated to embodied intelligence. He believes such platforms are crucial to accelerating the development of new technologies and promoting the widespread application of related products.
He advocates for the creation of a nationwide embodied intelligence open innovation network, along with a special government-led data project focused on this field. Zhou underscores the importance of developing a comprehensive standard system for industrial-grade embodied intelligence robots, covering everything from design and manufacturing to testing and implementation. Additionally, he suggests establishing standards for robot system integration and process adaptation tailored to specific use cases.
The upcoming session of China’s parliament, one of the two major annual political gatherings, begins today and continues through March 12. The top political advisory body is also in session, having opened yesterday and running until March 11.
Zhou recommends launching a national key R&D initiative targeting embodied intelligence to achieve breakthroughs in essential areas such as multimodal perception, environmental understanding, adaptive learning, and bio-inspired dexterous manipulation. He also calls for support in the research and industrialization of critical hardware components like high-precision sensors, intelligent joints, and real-time control systems.
He suggests that China should test the practical application of embodied intelligence in complex tasks such as assembly, precise inspection, high-risk operations, and customized solutions, aiming to develop benchmark cases that are scalable and replicable.
However, Zhou points out that the Chinese embodied intelligence industry still faces several challenges, including the lack of an effective collaboration mechanism among AI models, precision mechanisms, and control systems. Furthermore, industry-wide data sharing is inadequate, and high-fidelity simulation training platforms are limited in availability and depth of application. The absence of unified hardware interface standards, safety protocols, and performance benchmarks is also a significant hurdle. Implementing his proposed strategies could help overcome these obstacles and foster industry growth.
ChatGPT
Perplexity
Gemini AI
Grok AI
