Core Insights - The rise of "Physical AI" is becoming a new focal point in global technology competition, with significant implications for human-machine interaction [2][4] - Tianyu Shuke, a pioneer in embodied intelligence, has developed the Behavision platform, establishing a complete closed loop of "perception-reasoning-execution" for the industrialization of Physical AI [2][3] Company Developments - Tianyu Shuke's Behavision platform integrates various models, including the Tianxing large model and the "Wise Questions" 3D intelligent industry model, creating a synergistic model matrix [2] - The Tianxing model utilizes 260TB of multimodal data, enabling cross-perception reasoning capabilities, while the "Wise Questions" model employs Sim2Real simulation technology for efficient training [2] - The company has built a standardized robot ontology classification system and an atomic skill library, supporting various types of robotic actions [3] Industry Standards and Ecosystem - Tianyu Shuke is not only a technology leader but also a standard setter, with its solutions recognized in the China Academy of Information and Communications Technology's "AI Agent Industry Map 1.0" [3] - The company has established a 3D motion capture and multimodal data collection base, storing 1.2 million structured 3D motion data sets and 500,000 multimodal behavior data sets [3] - The "human-shaped robot space 6D motion capture long-range data" sets are available on national data trading platforms, providing low-cost, high-quality data services to SMEs [3] Future Outlook - The emergence of Physical AI signifies a new stage in AI development, focusing on enabling machines to understand and interact with the physical world [4] - As the industry chain continues to improve, Physical AI is expected to unlock significant potential in smart manufacturing and service robots, with Tianyu Shuke's practices serving as a key paradigm [4] - The ability to dominate the technical standards and scene implementation of Physical AI will determine the future leadership in the next generation of AI development [4]