Robots are rapidly making inroads into the B2B sector, emerging as a pivotal force propelling industrial growth. Their applications span a wide range, from autonomous decision-making in storage operations like palletizing and depalletizing, to Fluent Frame (assuming this term refers to a type of flow rack system commonly used in Chinese industrial contexts) sorting in automotive factories. They are also involved in tasks such as removing protective soft sleeves from engineering bolts, shelf recognition, as well as precise medicine dispensing and packaging in pharmacies. However, industry experts emphasize that the versatility of robots is crucial for their widespread commercial deployment. While the computational power and algorithms of large-scale models have reached a high level of maturity, data deficiencies continue to be a fundamental issue that hampers the robots' ability to generalize across diverse scenarios. To address this, the industry is calling for policy support in several areas. This includes opening up more application scenarios, providing subsidies for data infrastructure development, mitigating corporate implementation risks, and streamlining market access procedures. Such measures are expected to facilitate a smoother and faster integration of robots into real-world production and daily life settings.