SAP(US:SAP) 创业邦·2025-10-22 04:06Core Insights - The article emphasizes that by 2025, embodied intelligence is transitioning from "demonstrable feasibility" to "commercial availability," with the focus shifting from technical parameters in laboratories to stable, reliable, and economically viable end-to-end task execution in real-world scenarios [2][4] - The current industry faces a core contradiction: rapid development of multimodal large models and robotic hardware, but large-scale implementation is hindered by fragmented scenarios, cost sensitivity, and long-tail issues [2][4] - The success of overcoming the "last mile" challenge depends on the ability of technology providers and industry players to establish a deep co-creation loop [2][4] Industry Focus Areas - High-end Manufacturing and Electronics: - Internal logistics automation for material and cart transport within workshops [5] - AI vision for automatic defect detection and reporting in tire manufacturing [6] - Human-machine collaboration in electronic workshops for tasks requiring high safety and precision [7] - Logistics and Supply Chain: - Production logistics optimization through AGV-based automated material delivery systems [8] - Integrated logistics from factories to terminals, including sorting and delivery tasks [9] - Smart parking solutions utilizing AGV parking robots and cloud scheduling systems [10] - Automotive and Construction: - Flexible gripping systems with tactile feedback for complex parts assembly in automotive manufacturing [11] - New service robots for automatic battery swapping and charging for electric vehicles [12] - Automation in construction sites for heavy material transport and precise installation tasks [13] - Retail Services and Elderly Care: - Deployment of robots in retail for integrated services like vehicle recognition and tire maintenance [14] - Care robots with functionalities such as assistance in standing up, turning, medication reminders, and fall monitoring [14] - Mining and Heavy Industry: - Deployment of robotic systems for inspections and monitoring in high-risk areas like tailings dams and pipelines [15] - AI algorithms for anomaly detection and health warnings [15] - Development of an intelligent control "brain" for collaborative scheduling and data analysis among multiple robots [15] Event and Collaboration - The Banglink event, initiated by SAP and Chuangyebang, aims to connect over 100 core enterprises in the robotics industry with global industry giants for precise one-on-one matching based on real-world needs [4][17] - The event has successfully facilitated cooperation among 52 industry players, 279 innovative companies, and 144 investment institutions over the past three years, focusing on addressing industry pain points and fostering collaboration [17] - The recruitment for the event targets key component manufacturers, system solution providers, and integrators across the entire robotics supply chain, prioritizing those with mature case studies and international layouts [18]