CHINA AI ROBOTICS: Expert call on Frontier Foundation Models in Physical AI & Embodied Robotics

As frontier LLMs expand into physical AI, their emergent zero-shot generalization capabilities increasingly position them to operate as the centralized cognitive "brain" for embodied robotics. On 28 Oct, we hosted a Robotics Algorithm Engineer at a top-tier AI research institution, currently focused on embodied VLM/VLA algorithms, for an expert call with investors. Key implications: an acceleration rather than an overnight inflection, as advances in high-precision 3D perception and low-latency processing unlock leaps in zero-shot and few-shot generalization and pull forward real-world deployment; moats shifting toward edge and hardware integration, with long-term differentiation centering on rapid edge-model deployment, compute optimization and hardware-software co-design; upstream data infrastructure as near-term beneficiaries, especially advanced 3D spatial sensors and high-resolution tactile arrays;